Package: adductData Version: 1.22.0 Depends: R (>= 3.6) Imports: ExperimentHub (>= 1.9.0), AnnotationHub (>= 2.13.10), stats (>= 3.5.0), utils (>= 3.5.0), methods (>= 3.5.0), datasets (>= 3.5.0) Suggests: knitr (>= 1.15.1), rmarkdown (>= 1.5) License: Artistic-2.0 MD5sum: ed236e56217a786e98246e4db03eda1e NeedsCompilation: no Title: Data from untargeted MS of modifications to Cys34 of serum albumin Description: mzXML files from Grigoryan et al 2016 (Anal Chem). biocViews: ExperimentData,MassSpectrometryData,ExperimentHub Author: Josie Hayes Maintainer: Josie Hayes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/adductData git_branch: RELEASE_3_20 git_last_commit: 337b703 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/adductData_1.22.0.tar.gz vignettes: vignettes/adductData/inst/doc/adductData.html vignetteTitles: Raw mzXML data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/adductData/inst/doc/adductData.R dependsOnMe: adductomicsR dependencyCount: 68 Package: affycompData Version: 1.44.0 Depends: R (>= 2.13.0), methods, Biobase (>= 2.3.3), affycomp License: GPL (>= 2) MD5sum: 5c7cbe480087fc6f1fd20a85c954f9fc NeedsCompilation: no Title: affycomp data Description: Data needed by the affycomp package. biocViews: MicroarrayData Author: Rafael A. Irizarry and Zhijin Wu with contributions from Simon Cawley Maintainer: Robert D Shear URL: https://bioconductor.org/packages/affycompData BugReports: https://github.com/rafalab/affyCompData/issues git_url: https://git.bioconductor.org/packages/affycompData git_branch: RELEASE_3_20 git_last_commit: cc257ce git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/affycompData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affycomp dependencyCount: 7 Package: affydata Version: 1.54.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Imports: methods Suggests: hgu95av2cdf, hgu133acdf License: GPL (>= 2) MD5sum: dfb8275fc3bb96847e867ddcdced9c52 NeedsCompilation: no Title: Affymetrix Data for Demonstration Purpose Description: Example datasets of a slightly large size. They represent 'real world examples', unlike the artificial examples included in the package affy. biocViews: ExperimentData, Tissue, MicroarrayData, TissueMicroarrayData Author: Laurent Gautier Maintainer: Robert D Shear URL: https://bioconductor.org/packages/affydata BugReports: https://github.com/rafalab/affydata/issues git_url: https://git.bioconductor.org/packages/affydata git_branch: RELEASE_3_20 git_last_commit: b3765c2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/affydata_1.54.0.tar.gz vignettes: vignettes/affydata/inst/doc/affydata.pdf vignetteTitles: affydata primer hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/affydata/inst/doc/affydata.R dependsOnMe: affyContam suggestsMe: Biostrings, Harman, TurboNorm, affyPLM, affy, affycoretools, arrayMvout, gcrma, mimager, puma, pvac, vsn, RobLoxBioC dependencyCount: 12 Package: Affyhgu133A2Expr Version: 1.42.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 92f8f2e7fad2450606a57456cff8f5c1 NeedsCompilation: no Title: Affymetrix Human Genome U133A 2.0 Array (GPL571) Expression Data Package Description: Contains pre-built human (GPL571) databases of gene expression profiles. The gene expression data was downloaded from NCBI GEO and preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133A2Expr git_branch: RELEASE_3_20 git_last_commit: 61d3fd4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Affyhgu133A2Expr_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133aExpr Version: 1.44.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 4127126e7740a9c964f667637c67e5c9 NeedsCompilation: no Title: Affymetrix Human hgu133a Array (GPL96) Expression Data Package Description: Contains pre-built human (GPL96) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO, preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133aExpr git_branch: RELEASE_3_20 git_last_commit: 0fc1d4d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Affyhgu133aExpr_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133Plus2Expr Version: 1.40.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 026699f8f4eba1143c4ca44dc773a48d NeedsCompilation: no Title: Affyhgu133Plus2Expr (GPL570) Expression Data Package Description: Contains pre-built human (GPL570) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO and preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133Plus2Expr git_branch: RELEASE_3_20 git_last_commit: cb0cb4e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Affyhgu133Plus2Expr_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: AffymetrixDataTestFiles Version: 0.44.0 Depends: R (>= 2.5.0) License: LGPL-2.1 MD5sum: 7a7a9f89c31c1628a0d1e7c34dca730a NeedsCompilation: no Title: Affymetrix Data Files (CEL, CDF, CHP, EXP, PGF, PSI) for Testing Description: This package contains annotation data files and sample data files of Affymetrix file formats. The files originate from the Affymetrix' Fusion SDK distribution and other official sources. biocViews: ExperimentData, MicroarrayData Author: Henrik Bengtsson [aut, cre], James Bullard [aut], Kasper Daniel Hansen [aut] Maintainer: Henrik Bengtsson git_url: https://git.bioconductor.org/packages/AffymetrixDataTestFiles git_branch: RELEASE_3_20 git_last_commit: 8d93cb2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/AffymetrixDataTestFiles_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affxparser, affyILM, aroma.affymetrix dependencyCount: 0 Package: Affymoe4302Expr Version: 1.44.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 295950e1bd7dcc3617cd3de48e7187ec NeedsCompilation: no Title: Affymetrix Mouse Genome 430 2.0 Array (GPL1261) Expression Data Package Description: Contains pre-built mouse (GPL1261) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO, preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Mus_musculus_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affymoe4302Expr git_branch: RELEASE_3_20 git_last_commit: ee39b9b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Affymoe4302Expr_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: airway Version: 1.26.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: knitr, GEOquery, markdown License: LGPL MD5sum: 46b3c23c9c6d6fcf5973d6dcee659f94 NeedsCompilation: no Title: RangedSummarizedExperiment for RNA-Seq in airway smooth muscle cells, by Himes et al PLoS One 2014 Description: This package provides a RangedSummarizedExperiment object of read counts in genes for an RNA-Seq experiment on four human airway smooth muscle cell lines treated with dexamethasone. Details on the gene model and read counting procedure are provided in the package vignette. The citation for the experiment is: Himes BE, Jiang X, Wagner P, Hu R, Wang Q, Klanderman B, Whitaker RM, Duan Q, Lasky-Su J, Nikolos C, Jester W, Johnson M, Panettieri R Jr, Tantisira KG, Weiss ST, Lu Q. 'RNA-Seq Transcriptome Profiling Identifies CRISPLD2 as a Glucocorticoid Responsive Gene that Modulates Cytokine Function in Airway Smooth Muscle Cells.' PLoS One. 2014 Jun 13;9(6):e99625. PMID: 24926665. GEO: GSE52778. biocViews: ExperimentData, SequencingData, RNASeqData, GEO Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/airway git_branch: RELEASE_3_20 git_last_commit: c823b73 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/airway_1.26.0.tar.gz vignettes: vignettes/airway/inst/doc/airway.html vignetteTitles: Airway smooth muscle cells hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/airway/inst/doc/airway.R dependsOnMe: rnaseqGene importsMe: NetActivity, consensusDE suggestsMe: BioCor, BiocSet, CeTF, DESeq2, DelayedArray, EnhancedVolcano, EnrichmentBrowser, ExperimentSubset, IHW, InteractiveComplexHeatmap, OPWeight, PCAtools, Rvisdiff, SummarizedExperiment, TTMap, apeglm, awst, biobroom, funOmics, gg4way, iSEEde, iSEEpathways, iSEEu, ideal, pathwayPCA, pcaExplorer, plyxp, progeny, runibic, weitrix, IHWpaper, RegParallel, seqgendiff dependencyCount: 36 Package: ALL Version: 1.48.0 Depends: R (>= 2.10), Biobase (>= 2.5.5) Suggests: rpart License: Artistic-2.0 MD5sum: 5580b83d2affbc83bfe4d3c7c090ceff NeedsCompilation: no Title: A data package Description: Data of T- and B-cell Acute Lymphocytic Leukemia from the Ritz Laboratory at the DFCI (includes Apr 2004 versions) biocViews: ExperimentData, CancerData, LeukemiaCancerData Author: Xiaochun Li Maintainer: Robert Gentleman git_url: https://git.bioconductor.org/packages/ALL git_branch: RELEASE_3_20 git_last_commit: 740783d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ALL_1.48.0.tar.gz vignettes: vignettes/ALL/inst/doc/ALLintro.pdf vignetteTitles: ALL data intro hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ALL/inst/doc/ALLintro.R importsMe: ConsensusClusterPlus, dGAselID, scRNAtools suggestsMe: BioNet, Biobase, Category, CellMapper, ChromHeatMap, EnrichmentBrowser, GOstats, GSAR, GSEAlm, GeneSelectMMD, MLInterfaces, ReportingTools, SNAGEE, a4Base, a4Classif, a4Preproc, a4, clipper, esetVis, genefilter, graphite, npGSEA, pathRender, rScudo, topGO, SNAGEEdata, MMDvariance, nlcv dependencyCount: 6 Package: ALLMLL Version: 1.46.0 Depends: R (>= 2.10), affy (>= 1.23.4) License: GPL-2 MD5sum: b97903b1c1a6e0333549512656ede245 NeedsCompilation: no Title: A subset of arrays from a large acute lymphoblastic leukemia (ALL) study Description: This package provides probe-level data for 20 HGU133A and 20 HGU133B arrays which are a subset of arrays from a large ALL study. The data is for the MLL arrays. This data was published in Mary E. Ross, Xiaodong Zhou, Guangchun Song, Sheila A. Shurtleff, Kevin Girtman, W. Kent Williams, Hsi-Che Liu, Rami Mahfouz, Susana C. Raimondi, Noel Lenny, Anami Patel, and James R. Downing (2003) Classification of pediatric acute lymphoblastic leukemia by gene expression profiling Blood 102: 2951-2959 biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData Author: B. M. Bolstad git_url: https://git.bioconductor.org/packages/ALLMLL git_branch: RELEASE_3_20 git_last_commit: 5a5e904 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ALLMLL_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQualityMetrics, pvac dependencyCount: 12 Package: AmpAffyExample Version: 1.46.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Suggests: hgu133acdf License: LGPL (>= 2) MD5sum: f4bcd408e003773b8dd09c6299c5a7c6 NeedsCompilation: no Title: Example of Amplified Data Description: Six arrays. Three from amplified RNA, three from the typical procedure. biocViews: ExperimentData, MicroarrayData Author: Rafael A. Irizarry Maintainer: Robert D Shear URL: https://bioconductor.org/packages/AmpAffyExample BugReports: https://github.com/rafalab/AmpAffyExample/issues git_url: https://git.bioconductor.org/packages/AmpAffyExample git_branch: RELEASE_3_20 git_last_commit: 4f1ef3c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/AmpAffyExample_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: AffyRNADegradation dependencyCount: 12 Package: AneuFinderData Version: 1.34.0 Depends: R (>= 3.3) License: file LICENSE MD5sum: e003f8236f1f1b4e2c1049ca787bdab2 NeedsCompilation: no Title: WGSCS Data for Demonstration Purposes Description: Whole-genome single cell sequencing data for demonstration purposes in the AneuFinder package. biocViews: CopyNumberVariationData, LungCancerData, Homo_sapiens_Data, SequencingData Author: Aaron Taudt Maintainer: Aaron Taudt git_url: https://git.bioconductor.org/packages/AneuFinderData git_branch: RELEASE_3_20 git_last_commit: 4c07ed4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/AneuFinderData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: AneuFinder dependencyCount: 0 Package: antiProfilesData Version: 1.41.0 Depends: Biobase, Suggests: frma, GEOquery, GEOmetadb License: Artistic-2.0 MD5sum: 78cdf58c935b2e6d2bbd053938d45092 NeedsCompilation: no Title: Normal colon and cancer preprocessed affy data for antiProfile building. Description: Colon normal tissue and cancer samples used in Corrada Bravo, et al. gene expression anti-profiles paper: BMC Bioinformatics 2012, 13:272 doi:10.1186/1471-2105-13-272. Measurements are z-scores obtained from the GeneExpression Barcode in the 'frma' package biocViews: ExperimentData, MicroarrayData, Tissue, CancerData, ColonCancerData Author: Hector Corrada Bravo, Matthew McCall and Rafael A. Irizarry Maintainer: Hector Corrada Bravo git_url: https://git.bioconductor.org/packages/antiProfilesData git_branch: devel git_last_commit: 53e10f1 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/antiProfilesData_1.41.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: antiProfiles, epivizrChart, epivizr, messina dependencyCount: 6 Package: aracne.networks Version: 1.32.0 Depends: R (>= 3.3), viper License: file LICENSE MD5sum: 5f2866bb8b3db3bf6e87a9773d76da17 NeedsCompilation: no Title: ARACNe-inferred gene networks from TCGA tumor datasets Description: This package contains ARACNe-inferred networks from TCGA tumor datasets. It also contains a function to export them into plain-text format. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData Author: Federico M. Giorgi Maintainer: Federico M. Giorgi , Mariano Alvarez git_url: https://git.bioconductor.org/packages/aracne.networks git_branch: RELEASE_3_20 git_last_commit: ca738e3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/aracne.networks_1.32.0.tar.gz vignettes: vignettes/aracne.networks/inst/doc/aracne.networks.pdf vignetteTitles: Using aracne.networks hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/aracne.networks/inst/doc/aracne.networks.R dependencyCount: 90 Package: ARRmData Version: 1.42.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: 372caa2484b4a15568d1afd7574d16b1 NeedsCompilation: no Title: Example dataset for normalization of Illumina 450k Methylation data Description: Raw Beta values from 36 samples across 3 groups from Illumina 450k methylation arrays biocViews: ExperimentData, MethylationArrayData Author: Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe Maintainer: Jean-Philippe Fortin git_url: https://git.bioconductor.org/packages/ARRmData git_branch: RELEASE_3_20 git_last_commit: 07376ee git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ARRmData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ARRmNormalization dependencyCount: 0 Package: AshkenazimSonChr21 Version: 1.36.0 Suggests: knitr, VariantAnnotation License: Artistic-2.0 MD5sum: c7fe6ce4801ab4d0d7f3405b03a1b605 NeedsCompilation: no Title: Annotated variants on the chromosome 21, human genome 19, Ashkenazim Trio son sample Description: SonVariantsChr21 is a dataset of annotated genomic variants coming from Complete Genomics whole genome sequencing. Data comes from GIAB project, Ashkenazim Trio, sample HG002 run 1. Both vcf and annotated data frame are provided. biocViews: GenomicVariation, Sequencing, WholeGenome Author: Tomasz Stokowy Maintainer: Who to complain to VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/AshkenazimSonChr21 git_branch: RELEASE_3_20 git_last_commit: cf51600 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/AshkenazimSonChr21_1.36.0.tar.gz vignettes: vignettes/AshkenazimSonChr21/inst/doc/AshkenazimSonChr21.pdf vignetteTitles: RareVariantVis hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/AshkenazimSonChr21/inst/doc/AshkenazimSonChr21.R dependencyCount: 0 Package: ASICSdata Version: 1.26.0 Depends: R (>= 3.5) Suggests: knitr, rmarkdown, BiocStyle License: GPL (>= 2) MD5sum: d2a2fba95d9d2d4edf0fbeca46cc7bef NeedsCompilation: no Title: Example of 1D NMR spectra data for ASICS package Description: 1D NMR example spectra and additional data for use with the ASICS package. Raw 1D Bruker spectral data files were found in the MetaboLights database (https://www.ebi.ac.uk/metabolights/, study MTBLS1). biocViews: ExperimentData, Homo_sapiens_Data Author: Gaëlle Lefort [aut, cre], Rémi Servien [aut], Nathalie Villa-Vialaneix [aut] Maintainer: Gaëlle Lefort VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ASICSdata git_branch: RELEASE_3_20 git_last_commit: 5ae1a16 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ASICSdata_1.26.0.tar.gz vignettes: vignettes/ASICSdata/inst/doc/ASICSdata.html vignetteTitles: ASICSdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ASICS dependencyCount: 0 Package: bcellViper Version: 1.42.0 Depends: R(>= 2.14.0), Biobase, methods License: GPL (>=2) MD5sum: 72732d35e21a870acb5095bf03b05128 NeedsCompilation: no Title: Human B-cell transcriptional interactome and normal human B-cell expression data Description: This package provides a human B-cell context-specific transcriptional regulatory network and a human normal B-cells dataset for the examples in package viper. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData Author: Mariano Javier Alvarez Maintainer: Mariano Javier Alvarez git_url: https://git.bioconductor.org/packages/bcellViper git_branch: RELEASE_3_20 git_last_commit: 80d6f26 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bcellViper_1.42.0.tar.gz vignettes: vignettes/bcellViper/inst/doc/bcellViper.pdf vignetteTitles: Using bcellViper hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bcellViper/inst/doc/bcellViper.R importsMe: dorothea suggestsMe: GenomicSuperSignature, pageRank, viper dependencyCount: 6 Package: beadarrayExampleData Version: 1.44.0 Depends: R (>= 2.13.0), Biobase (>= 2.5.5), methods, beadarray (>= 2.0.0) License: GPL-2 MD5sum: 435c0cf9624aef923febb8c90a8bcc6a NeedsCompilation: no Title: Example data for the beadarray package Description: An small dataset that can be used to run examples from the beadarray vignette and examples biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/beadarrayExampleData git_branch: RELEASE_3_20 git_last_commit: 8afa36f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/beadarrayExampleData_1.44.0.tar.gz vignettes: vignettes/beadarrayExampleData/inst/doc/beadarrayExampleData.pdf vignetteTitles: beadarrayExampleData: example data for the beadarray package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/beadarrayExampleData/inst/doc/beadarrayExampleData.R suggestsMe: MiRaGE, beadarray, RobLoxBioC dependencyCount: 81 Package: BeadArrayUseCases Version: 1.44.1 Imports: beadarray (>= 2.3.18), limma, GEOquery Suggests: Biostrings, GenomicRanges, illuminaHumanv1.db, illuminaHumanv2.db, illuminaHumanv3.db License: GPL-2 MD5sum: d460aaa4c94c0bc76f8580472e353811 NeedsCompilation: no Title: Analysing Illumina BeadArray expression data using Bioconductor Description: Example data files and use cases for processing Illumina BeadArray expression data using Bioconductor biocViews: MicroarrayData Author: Mark Dunning, Wei Shi, Andy Lynch, Mike Smith, Matt Ritchie Maintainer: Mike Smith git_url: https://git.bioconductor.org/packages/BeadArrayUseCases git_branch: RELEASE_3_20 git_last_commit: ea0832f git_last_commit_date: 2024-11-13 Date/Publication: 2024-11-14 source.ver: src/contrib/BeadArrayUseCases_1.44.1.tar.gz vignettes: vignettes/BeadArrayUseCases/inst/doc/BeadArrayUseCases.pdf vignetteTitles: BeadArrayUseCases.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BeadArrayUseCases/inst/doc/BeadArrayUseCases.R dependencyCount: 112 Package: BeadSorted.Saliva.EPIC Version: 1.14.0 Depends: R (>= 4.1), minfi(>= 1.36.0), ExperimentHub Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 10b9f6f46be07aa4e2b5fd5ff4dae4ff NeedsCompilation: no Title: Illumina EPIC data on BeadSorted child saliva cells Description: Raw data objects used to estimate saliva cell proportion estimates in ewastools. The FlowSorted.Saliva.EPIC object is constructed from samples assayed by Lauren Middleton et. al. (2021). biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData, Genome, MethylationArrayData, ExperimentHub Author: Jonah Fisher [aut, cre], Kelly Bakulski [aut], Lauren Middleton [aut] Maintainer: Jonah Fisher VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BeadSorted.Saliva.EPIC git_branch: RELEASE_3_20 git_last_commit: ccd3b84 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/BeadSorted.Saliva.EPIC_1.14.0.tar.gz vignettes: vignettes/BeadSorted.Saliva.EPIC/inst/doc/BeadSorted.Saliva.EPIC.html vignetteTitles: BeadSorted.Saliva.EPIC.html hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BeadSorted.Saliva.EPIC/inst/doc/BeadSorted.Saliva.EPIC.R dependencyCount: 152 Package: benchmarkfdrData2019 Version: 1.20.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang License: MIT + file LICENSE MD5sum: 93fd3ecc26e32fdc7f4086ddd4a06a02 NeedsCompilation: no Title: Data and Benchmarking Results from Korthauer and Kimes et al. (2019) Description: Benchmarking results for experimental and simulated data sets used in Korthauer and Kimes et al. (2019) to compare methods for controlling the false discovery rate. biocViews: SingleCellData, ExperimentData, RNASeqData, ExpressionData, ExperimentData, ExperimentHub Author: Stephanie Hicks [aut, cre] (), Keegan Korthauer [aut] (), Patrick Kimes [aut] () Maintainer: Stephanie Hicks VignetteBuilder: knitr BugReports: https://github.com/stephaniehicks/benchmarkfdrData2019/issues git_url: https://git.bioconductor.org/packages/benchmarkfdrData2019 git_branch: RELEASE_3_20 git_last_commit: 8ab8fcc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/benchmarkfdrData2019_1.20.0.tar.gz vignettes: vignettes/benchmarkfdrData2019/inst/doc/benchmarkfdrData2019.html vignetteTitles: Exploring and updating FDR benchmarking results hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/benchmarkfdrData2019/inst/doc/benchmarkfdrData2019.R dependencyCount: 78 Package: beta7 Version: 1.44.0 Depends: R (>= 2.4.0), marray License: LGPL MD5sum: b3f1aa522feccc463e3d7aca2da3c03f NeedsCompilation: no Title: Rodriguez et al. (2004) Differential Gene Expression by Memory/Effector T Helper Cells Bearing the Gut-Homing Receptor Integrin alpha4 beta7. Description: Data from 6 gpr files aims to identify differential expressed genes between the beta 7+ and beta 7- memory T helper cells. biocViews: ExperimentData, Homo_sapiens_Data, CGHData, MicroarrayData Author: Jean Yang Maintainer: Jean Yang git_url: https://git.bioconductor.org/packages/beta7 git_branch: RELEASE_3_20 git_last_commit: 19e8672 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/beta7_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 8 Package: BioImageDbs Version: 1.14.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum Suggests: knitr, BiocStyle, purrr License: Artistic-2.0 MD5sum: 3cc77545922812f009e5c6444f20b985 NeedsCompilation: no Title: Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub) Description: The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras/tensorflow in R. biocViews: ExperimentHub, ExperimentData, CellCulture, Tissue Author: Satoshi Kume [aut, cre] (), Kozo Nishida [aut] () Maintainer: Satoshi Kume URL: https://kumes.github.io/BioImageDbs/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BioImageDbs git_branch: RELEASE_3_20 git_last_commit: 196d117 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/BioImageDbs_1.14.0.tar.gz vignettes: vignettes/BioImageDbs/inst/doc/BioImageBbs_Datasets.html, vignettes/BioImageDbs/inst/doc/BioImageDbs.html vignetteTitles: The BioImageBbs Datasets, Providing Bioimage Dataset for ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BioImageDbs/inst/doc/BioImageBbs_Datasets.R, vignettes/BioImageDbs/inst/doc/BioImageDbs.R dependencyCount: 103 Package: BioPlex Version: 1.12.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: BiocFileCache, GenomicRanges, GenomeInfoDb, GEOquery, graph, methods, utils Suggests: AnnotationDbi, AnnotationHub, BiocStyle, DEXSeq, ExperimentHub, GenomicFeatures, S4Vectors, depmap, knitr, rmarkdown License: Artistic-2.0 MD5sum: 6082010a89fc4adbb51185459ab189f5 NeedsCompilation: no Title: R-side access to BioPlex protein-protein interaction data Description: The BioPlex package implements access to the BioPlex protein-protein interaction networks and related resources from within R. Besides protein-protein interaction networks for HEK293 and HCT116 cells, this includes access to CORUM protein complex data, and transcriptome and proteome data for the two cell lines. Functionality focuses on importing the various data resources and storing them in dedicated Bioconductor data structures, as a foundation for integrative downstream analysis of the data. biocViews: CellCulture, ColonCancerData, ExperimentHub, ExpressionData, GEO, Genome, Homo_sapiens_Data, MassSpectrometryData, Proteome, ReproducibleResearch, RNASeqData Author: Ludwig Geistlinger [aut, cre], Robert Gentleman [aut] Maintainer: Ludwig Geistlinger URL: https://github.com/ccb-hms/BioPlex VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/BioPlex/issues git_url: https://git.bioconductor.org/packages/BioPlex git_branch: RELEASE_3_20 git_last_commit: d025ba7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/BioPlex_1.12.0.tar.gz vignettes: vignettes/BioPlex/inst/doc/BasicChecks.html, vignettes/BioPlex/inst/doc/BioPlex.html vignetteTitles: 2. Data checks, 1. Data retrieval hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BioPlex/inst/doc/BasicChecks.R, vignettes/BioPlex/inst/doc/BioPlex.R dependencyCount: 90 Package: biotmleData Version: 1.30.0 Depends: R (>= 3.5.0) Suggests: Biobase, SummarizedExperiment License: file LICENSE MD5sum: ebc2c473d76e484b65b601f4be16190b NeedsCompilation: no Title: Example experimental microarray data set for the "biotmle" R package Description: Microarray data (from the Illumina Ref-8 BeadChips platform) and phenotype-level data from an epidemiological investigation of benzene exposure, packaged using "SummarizedExperiemnt", for use as an example with the "biotmle" R package. biocViews: GeneExpression, DifferentialExpression, Sequencing, Microarray, RNASeq Author: Nima Hejazi [aut, cre] Maintainer: Nima Hejazi git_url: https://git.bioconductor.org/packages/biotmleData git_branch: RELEASE_3_20 git_last_commit: d00b553 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/biotmleData_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: biotmle dependencyCount: 0 Package: biscuiteerData Version: 1.20.0 Depends: R (>= 4.1.0), ExperimentHub Imports: AnnotationHub, utils, curl, GenomicRanges Suggests: knitr, rmarkdown, markdown License: GPL-3 MD5sum: 71b2c48b7e095c2546f3ebfc8331b7a5 NeedsCompilation: no Title: Data Package for Biscuiteer Description: Contains default datasets used by the Bioconductor package biscuiteer. biocViews: ExperimentHub, ExperimentData, Genome, Homo_sapiens_Data Author: Tim Triche, Jr. [aut, cre], Wanding Zhou [aut], Ben Johnson [aut], Jacob Morrison [aut], Lyong Heo [aut] Maintainer: "Jacob Morrison" VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/biscuiteerData git_branch: RELEASE_3_20 git_last_commit: eba5e3d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/biscuiteerData_1.20.0.tar.gz vignettes: vignettes/biscuiteerData/inst/doc/biscuiteerData.html vignetteTitles: Biscuiteer User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/biscuiteerData/inst/doc/biscuiteerData.R dependsOnMe: biscuiteer dependencyCount: 68 Package: bladderbatch Version: 1.44.0 Depends: Biobase License: Artistic-2.0 MD5sum: 3447e61de0537a4b0541b25a3aadc0b4 NeedsCompilation: no Title: Bladder gene expression data illustrating batch effects Description: This package contains microarray gene expression data on 57 bladder samples from 5 batches. The data are used as an illustrative example for the sva package. biocViews: ExperimentData, CancerData, MicroarrayData Author: Jeffrey T. Leek Maintainer: Jeffrey T. Leek git_url: https://git.bioconductor.org/packages/bladderbatch git_branch: RELEASE_3_20 git_last_commit: 96b1f82 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bladderbatch_1.44.0.tar.gz vignettes: vignettes/bladderbatch/inst/doc/bladderbatch.pdf vignetteTitles: bladderbatchTutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bladderbatch/inst/doc/bladderbatch.R importsMe: RUVcorr suggestsMe: BatchQC, Harman, sva dependencyCount: 6 Package: blimaTestingData Version: 1.26.0 Depends: R(>= 3.0.0) Suggests: blima, beadarray, illuminaHumanv4.db, BiocStyle License: GPL-3 MD5sum: 2e6d3952baeb1a16f51291872a56e932 NeedsCompilation: no Title: Data for testing of the package blima. Description: Experiment data package. The set were prepared using microarray images of human mesenchymal cells treated with various supplements. This package is intended to provide example data to test functionality provided by blima. biocViews: MicroarrayData, ExperimentData, GEO Author: Vojtech Kulvait Maintainer: Vojtech Kulvait URL: https://bitbucket.org/kulvait/blima git_url: https://git.bioconductor.org/packages/blimaTestingData git_branch: RELEASE_3_20 git_last_commit: acccfcb git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/blimaTestingData_1.26.0.tar.gz vignettes: vignettes/blimaTestingData/inst/doc/blimaTestingData.pdf vignetteTitles: blimaTestingData.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/blimaTestingData/inst/doc/blimaTestingData.R suggestsMe: blima dependencyCount: 0 Package: BloodCancerMultiOmics2017 Version: 1.26.0 Depends: R (>= 3.5.0) Imports: beeswarm, Biobase, DESeq2, devtools, dplyr, ggdendro, ggplot2, glmnet, graphics, grDevices, grid, gtable, ipflasso, methods, RColorBrewer, reshape2, scales, stats, SummarizedExperiment, survival, tibble Suggests: BiocStyle, knitr, rmarkdown, abind, AnnotationDbi, biomaRt, broom, colorspace, cowplot, dendsort, doParallel, foreach, forestplot, genefilter, ggbeeswarm, ggtern, gridExtra, hexbin, IHW, limma, magrittr, Matrix, maxstat, nat, org.Hs.eg.db, pheatmap, piano, readxl, Rtsne, tidyr, xtable License: LGPL (>= 3) MD5sum: b3f8ec1359432e60d43fd88217e07889 NeedsCompilation: no Title: "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al. - experimental data and complete analysis Description: The package contains data of the Primary Blood Cancer Encyclopedia (PACE) project together with a complete executable transcript of the statistical analysis and reproduces figures presented in the paper "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al., J. Clin. Invest. (2018) 128(1):427-445. doi:10.1172/JCI93801. biocViews: ExperimentData, ReproducibleResearch, CancerData, LeukemiaCancerData Author: Malgorzata Oles, Sascha Dietrich, Junyan Lu, Britta Velten, Andreas Mock, Vladislav Kim, Wolfgang Huber Maintainer: Malgorzata Oles VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BloodCancerMultiOmics2017 git_branch: RELEASE_3_20 git_last_commit: 9e53b5f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/BloodCancerMultiOmics2017_1.26.0.tar.gz vignettes: vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017-dataOverview.html, vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017.html vignetteTitles: BloodCancerMultiOmics2017 - data overview, BloodCancerMultiOmics2017 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017-dataOverview.R, vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017.R dependencyCount: 162 Package: bodymapRat Version: 1.22.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat License: CC BY 4.0 MD5sum: bb02b15c5ef09829d18834e0f7e37440 NeedsCompilation: no Title: Experimental dataset from the rat BodyMap project Description: This package contains a SummarizedExperiment from the Yu et al. (2013) paper that performed the rat BodyMap across 11 organs and 4 developmental stages. Raw FASTQ files were downloaded and mapped using STAR. Data is available on ExperimentHub as a data package. biocViews: SequencingData, RNASeqData, ExpressionData, ExperimentData, ExperimentHub Author: Stephanie Hicks [aut, cre] (), Kwame Okrah [aut] Maintainer: Stephanie Hicks VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/bodymapRat git_branch: RELEASE_3_20 git_last_commit: 2402a0b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bodymapRat_1.22.0.tar.gz vignettes: vignettes/bodymapRat/inst/doc/bodymapRat.html vignetteTitles: The bodymapRat data user's guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bodymapRat/inst/doc/bodymapRat.R suggestsMe: qsmooth dependencyCount: 78 Package: breakpointRdata Version: 1.24.0 Depends: R (>= 3.5) Suggests: knitr, BiocStyle, License: file LICENSE MD5sum: 11f2cc0f64846cce27286f3cb0e3aea5 NeedsCompilation: no Title: Strand-seq data for demonstration purposes Description: Strand-seq data to demonstrate functionalities of breakpointR package. biocViews: ExperimentData, Homo_sapiens_Data, SequencingData, DNASeqData, Genome, SingleCellData Author: David Porubsky, Aaron Taudt, Ashley Sanders Maintainer: David Porubsky URL: https://github.com/daewoooo/breakpointRdata VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/breakpointRdata git_branch: RELEASE_3_20 git_last_commit: 4a99737 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breakpointRdata_1.24.0.tar.gz vignettes: vignettes/breakpointRdata/inst/doc/breakpointRdata-knitr.pdf vignetteTitles: Example data for breakpointR hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/breakpointRdata/inst/doc/breakpointRdata-knitr.R dependsOnMe: breakpointR dependencyCount: 0 Package: breastCancerMAINZ Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 22952cca74ba799453172c26a1b9e095 NeedsCompilation: no Title: Gene expression dataset published by Schmidt et al. [2008] (MAINZ). Description: Gene expression data from the breast cancer study published by Schmidt et al. in 2008, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerMAINZ git_branch: RELEASE_3_20 git_last_commit: 2d6d11a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerMAINZ_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: DART, MineICA dependencyCount: 0 Package: breastCancerNKI Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: d33d1f8a22c9a9c46a2d3d0979e73a43 NeedsCompilation: no Title: Genexpression dataset published by van't Veer et al. [2002] and van de Vijver et al. [2002] (NKI). Description: Genexpression data from a breast cancer study published by van't Veer et al. in 2002 and van de Vijver et al. in 2002, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, CGHData, MicroarrayData, OneChannelData, ChipOnChipData Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerNKI git_branch: RELEASE_3_20 git_last_commit: 94e7b8f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerNKI_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SigCheck, seventyGeneData dependencyCount: 0 Package: breastCancerTRANSBIG Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: fc586508a997c8c11e7597e313af8656 NeedsCompilation: no Title: Gene expression dataset published by Desmedt et al. [2007] (TRANSBIG). Description: Gene expression data from a breast cancer study published by Desmedt et al. in 2007, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerTRANSBIG git_branch: RELEASE_3_20 git_last_commit: e0e5378 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerTRANSBIG_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSgalgoR, MineICA dependencyCount: 0 Package: breastCancerUNT Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 59b7e8804b56e38b43e6fdbe27c7467d NeedsCompilation: no Title: Gene expression dataset published by Sotiriou et al. [2007] (UNT). Description: Gene expression data from a breast cancer study published by Sotiriou et al. in 2007, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, TwoChannelData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerUNT git_branch: RELEASE_3_20 git_last_commit: 7d74753 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerUNT_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: breastCancerUPP Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 164ea026b64aa6ed9c09feedd1b9b348 NeedsCompilation: no Title: Gene expression dataset published by Miller et al. [2005] (UPP). Description: Gene expression data from a breast cancer study published by Miller et al. in 2005, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerUPP git_branch: RELEASE_3_20 git_last_commit: ddb7e93 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerUPP_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSgalgoR, MineICA, safe dependencyCount: 0 Package: breastCancerVDX Version: 1.44.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: b9c4ab9d76d527bef300fa0cfc0f7786 NeedsCompilation: no Title: Gene expression datasets published by Wang et al. [2005] and Minn et al. [2007] (VDX). Description: Gene expression data from a breast cancer study published by Wang et al. in 2005 and Minn et al. in 2007, provided as an eSet. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData, BreastCancerData, LungCancerData, MicroarrayData, OneChannelData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerVDX git_branch: RELEASE_3_20 git_last_commit: 151ea9f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/breastCancerVDX_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: BAGS suggestsMe: AIMS, DART, MineICA dependencyCount: 0 Package: brgedata Version: 1.28.0 Depends: R (>= 3.5.0), Biobase Imports: SummarizedExperiment Suggests: minfi, MultiAssayExperiment, knitr, rmarkdown, rexposome, BiocStyle License: MIT + file LICENSE MD5sum: 576c30227addd3d7feda172a74c0b869 NeedsCompilation: no Title: Exposures, Gene Expression and Methylation data for ilustration purpouses Description: This package contains several sets of omics data including Gene Expression (ExpressionSet), Methylation (GenomicRatioSet), Proteome and Exposome (ExposomeSet). This data is used in vignettes and exaples at MEAL, MultiDataSet and omicRexposome. biocViews: ExperimentData,Homo_sapiens_Data,MicroarrayData,MethylationArrayData Author: Dolors Pelegri-Siso [aut, cre], Carlos Ruiz-Arenas [aut], Carles Hernandez-Ferrer [aut], Juan R. Gonzalez [aut] Maintainer: Dolors Pelegri-Siso VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/brgedata git_branch: RELEASE_3_20 git_last_commit: 771b03b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/brgedata_1.28.0.tar.gz vignettes: vignettes/brgedata/inst/doc/general_description.html vignetteTitles: brgedata -- data R package with three omic data-set and exposome data-set from the same Spanish pupulation hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/brgedata/inst/doc/general_description.R suggestsMe: MEAL, MultiDataSet, omicRexposome dependencyCount: 36 Package: bronchialIL13 Version: 1.44.0 Depends: R(>= 2.10.0), affy (>= 1.23.4) License: GPL-2 MD5sum: 00ffcfd4e6583e294b378101c011efd7 NeedsCompilation: no Title: time course experiment involving il13 Description: derived from CNMC (pepr.cnmcresearch.org) http://pepr.cnmcresearch.org/browse.do?action=list_prj_exp&projectId=95 Human Bronchial Cell line A549 biocViews: ExperimentData, MicroarrayData Author: Vince Carey Maintainer: Vince Carey URL: http://www.biostat.harvard.edu/~carey git_url: https://git.bioconductor.org/packages/bronchialIL13 git_branch: RELEASE_3_20 git_last_commit: 51213b7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bronchialIL13_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: bsseqData Version: 0.44.0 Depends: R (>= 3.5.0), bsseq (>= 1.16.0) License: Artistic-2.0 MD5sum: 759f2d070264c33866572d991c5723af NeedsCompilation: no Title: Example whole genome bisulfite data for the bsseq package Description: Example whole genome bisulfite data for the bsseq package biocViews: Genome, CancerData, ColonCancerData, SequencingData Author: Kasper Daniel Hansen Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/bsseqData git_branch: RELEASE_3_20 git_last_commit: 4c65f5e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bsseqData_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: bsseq, methylSig dependencyCount: 89 Package: bugphyzz Version: 1.0.0 Depends: R (>= 4.4) Imports: dplyr, utils, purrr, stringr, tidyr, tidyselect, BiocFileCache, httr2, tools, S4Vectors Suggests: DT, forcats, ggplot2, htmltools, knitr, rmarkdown, sessioninfo, testthat, EnrichmentBrowser, MicrobiomeBenchmarkData, mia, stats, rlang, limma, mgsub, methods, readr, crayon, tibble, magrittr, tidytext, BiocStyle License: Artistic-2.0 MD5sum: b29c65abe5333278bea9cbd13db6dc77 NeedsCompilation: no Title: A harmonized data resource and software for enrichment analysis of microbial physiologies Description: bugphyzz is an electronic database of standardized microbial annotations. It facilitates the creation of microbial signatures based on shared attributes, which are utilized for bug set enrichment analysis. The data also includes annotations imputed with ancestra state reconstruction methods. biocViews: MicrobiomeData, ReproducibleResearch Author: Samuel Gamboa [aut, cre] (), Levi Waldron [aut] (), Kelly Eckenrode [aut], Jonathan Ye [aut], Jennifer Wokaty [aut] Maintainer: Samuel Gamboa URL: https://github.com/waldronlab/bugphyzz VignetteBuilder: knitr BugReports: https://github.com/waldronlab/bugphyzz/issues git_url: https://git.bioconductor.org/packages/bugphyzz git_branch: RELEASE_3_20 git_last_commit: 50358b0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/bugphyzz_1.0.0.tar.gz vignettes: vignettes/bugphyzz/inst/doc/bugphyzz.html, vignettes/bugphyzz/inst/doc/sources.html vignetteTitles: bugphyzz, Sources hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bugphyzz/inst/doc/bugphyzz.R, vignettes/bugphyzz/inst/doc/sources.R dependencyCount: 51 Package: cancerdata Version: 1.44.0 Depends: R (>= 2.10.1), Biobase License: GPL (>= 2) MD5sum: 0765bb89fc39828f03110a42851e1a02 NeedsCompilation: no Title: Development and validation of diagnostic tests from high-dimensional molecular data: Datasets Description: Dataset for the R package cancerclass biocViews: CancerData, MicroarrayData Author: Jan Budczies, Daniel Kosztyla Maintainer: Daniel Kosztyla git_url: https://git.bioconductor.org/packages/cancerdata git_branch: RELEASE_3_20 git_last_commit: 42ceff3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/cancerdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cancerclass dependencyCount: 6 Package: CardinalWorkflows Version: 1.38.0 Depends: R (>= 2.10), Cardinal, methods Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: d245d4c9f068e8618542e73c1ccb4973 NeedsCompilation: no Title: Datasets and workflows for the Cardinal MSI Description: Datasets and workflows for Cardinal: DESI and MALDI examples including pig fetus, cardinal painting, and human RCC. biocViews: ExperimentData, MassSpectrometryData, ImagingMassSpectrometryData Author: Kylie A. Bemis Maintainer: Kylie A. Bemis VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CardinalWorkflows git_branch: RELEASE_3_20 git_last_commit: 05d0305 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CardinalWorkflows_1.38.0.tar.gz vignettes: vignettes/CardinalWorkflows/inst/doc/MSI-classification.html, vignettes/CardinalWorkflows/inst/doc/MSI-segmentation.html, vignettes/CardinalWorkflows/inst/doc/MSI-testing.html vignetteTitles: 2. Classification: Supervised analysis workflow, 1. Segmentation: Unsupervised analysis workflow, 3. Class comparision: Statistical testing workflow hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CardinalWorkflows/inst/doc/MSI-classification.R, vignettes/CardinalWorkflows/inst/doc/MSI-segmentation.R, vignettes/CardinalWorkflows/inst/doc/MSI-testing.R dependencyCount: 66 Package: ccdata Version: 1.32.0 Depends: R (>= 3.3) License: MIT + file LICENSE MD5sum: 310ec3465e4b2c78427eff60b91aeaae NeedsCompilation: no Title: Data for Combination Connectivity Mapping (ccmap) Package Description: This package contains microarray gene expression data generated from the Connectivity Map build 02 and LINCS l1000. The data are used by the ccmap package to find drugs and drug combinations to mimic or reverse a gene expression signature. biocViews: ExperimentData, MicroarrayData, ExpressionData Author: Alex Pickering Maintainer: Alex Pickering git_url: https://git.bioconductor.org/packages/ccdata git_branch: RELEASE_3_20 git_last_commit: e4fa28e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ccdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: ccmap suggestsMe: retriever dependencyCount: 0 Package: CCl4 Version: 1.44.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5), limma License: Artistic-2.0 MD5sum: fb2ae341e4ce02f9252126a652638004 NeedsCompilation: no Title: Carbon Tetrachloride (CCl4) treated hepatocytes Description: NChannelSet for rat hepatocytes treated with Carbon Tetrachloride (CCl4) data from LGC company. biocViews: ExperimentData, Genome, Rattus_norvegicus_Data, MicroarrayData Author: Audrey Kauffmann, Wolfgang Huber Maintainer: Audrey Kauffmann git_url: https://git.bioconductor.org/packages/CCl4 git_branch: RELEASE_3_20 git_last_commit: bb942f3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CCl4_1.44.0.tar.gz vignettes: vignettes/CCl4/inst/doc/CCl4.pdf vignetteTitles: CCl4 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CCl4/inst/doc/CCl4.R suggestsMe: arrayQualityMetrics dependencyCount: 9 Package: celarefData Version: 1.24.0 Depends: R (>= 3.5.0) Suggests: ExperimentHub, knitr, rmarkdown License: GPL-3 MD5sum: 53757d12a0a75e5220f8a1ceac494942 NeedsCompilation: no Title: Processed scRNA data for celaref Vignette - cell labelling by reference Description: This experiment data contains some processed data used in the celaref package vignette. These are publically available datasets, that have been processed by celaref package, and can be manipulated further with it. biocViews: ExperimentData, SingleCellData, ExperimentHub Author: Sarah Williams [aut, cre] Maintainer: Sarah Williams VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/celarefData git_branch: RELEASE_3_20 git_last_commit: d519e83 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/celarefData_1.24.0.tar.gz vignettes: vignettes/celarefData/inst/doc/celarefData.html vignetteTitles: Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/celarefData/inst/doc/celarefData.R dependencyCount: 0 Package: celldex Version: 1.16.0 Depends: SummarizedExperiment Imports: utils, methods, Matrix, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats, gypsum, alabaster.base, alabaster.matrix, alabaster.se, DBI, RSQLite, jsonlite Suggests: testthat, knitr, rmarkdown, BiocStyle, DT, jsonvalidate, BiocManager, ensembldb License: GPL-3 MD5sum: ba3dc1f475b673ee0303293d6d997194 NeedsCompilation: no Title: Index of Reference Cell Type Datasets Description: Provides a collection of reference expression datasets with curated cell type labels, for use in procedures like automated annotation of single-cell data or deconvolution of bulk RNA-seq. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData Author: Dvir Aran [aut], Aaron Lun [aut, cre, cph], Daniel Bunis [aut], Jared Andrews [aut], Friederike Dündar [aut] Maintainer: Aaron Lun URL: https://github.com/LTLA/celldex VignetteBuilder: knitr BugReports: https://support.bioconductor.org/ git_url: https://git.bioconductor.org/packages/celldex git_branch: RELEASE_3_20 git_last_commit: 878126b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/celldex_1.16.0.tar.gz vignettes: vignettes/celldex/inst/doc/userguide.html vignetteTitles: Cell type references hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/celldex/inst/doc/userguide.R dependsOnMe: OSCA.workflows, SingleRBook importsMe: singleCellTK suggestsMe: SingleR, ontoProc, scDiagnostics, sketchR, tidySingleCellExperiment dependencyCount: 95 Package: CellMapperData Version: 1.32.0 Depends: ExperimentHub, CellMapper Suggests: BiocStyle License: Artistic-2.0 MD5sum: 0ddd6a344cf219cebb22142890c1b2d3 NeedsCompilation: no Title: Pre-processed data for use with the CellMapper package Description: Experiment data package. Contains microarray data from several large expression compendia that have been pre-processed for use with the CellMapper package. This pre-processed data is recommended for routine searches using the CellMapper package. biocViews: ExperimentData, MicroarrayData, ExpressionData Author: Brad Nelms Maintainer: Brad Nelms git_url: https://git.bioconductor.org/packages/CellMapperData git_branch: RELEASE_3_20 git_last_commit: 77bc949 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CellMapperData_1.32.0.tar.gz vignettes: vignettes/CellMapperData/inst/doc/CellMapperData.pdf vignetteTitles: CellMapperData Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CellMapperData/inst/doc/CellMapperData.R suggestsMe: CellMapper dependencyCount: 68 Package: cfToolsData Version: 1.4.0 Depends: R (>= 4.3.0) Imports: utils, ExperimentHub Suggests: BiocStyle, knitr, rmarkdown, ExperimentHubData, testthat (>= 3.0.0) License: file LICENSE MD5sum: b5b055a577c96c820f47fbfd28d25b35 NeedsCompilation: no Title: ExperimentHub data for the cfTools package Description: The cfToolsData package supplies the data for the cfTools package. It contains two pre-trained deep neural network (DNN) models for the cfSort function. Additionally, it includes the shape parameters of beta distribution characterizing methylation markers associated with four tumor types for the CancerDetector function, as well as the parameters characterizing methylation markers specific to 29 primary human tissue types for the cfDeconvolve function. biocViews: ExperimentHub, ExperimentData, ReproducibleResearch, DiseaseModel, CancerData, Tissue Author: Ran Hu [aut, cre] (), Shuo Li [aut] (), Xianghong Jasmine Zhou [aut] (), Wenyuan Li [aut] () Maintainer: Ran Hu URL: https://github.com/jasminezhoulab/cfToolsData VignetteBuilder: knitr BugReports: https://github.com/jasminezhoulab/cfToolsData/issues git_url: https://git.bioconductor.org/packages/cfToolsData git_branch: RELEASE_3_20 git_last_commit: d77a17f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/cfToolsData_1.4.0.tar.gz vignettes: vignettes/cfToolsData/inst/doc/cfToolsData.html vignetteTitles: cfToolsData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/cfToolsData/inst/doc/cfToolsData.R importsMe: cfTools dependencyCount: 67 Package: ChAMPdata Version: 2.38.0 Depends: R (>= 3.5.0), GenomicRanges (>= 1.22.4), BiocGenerics (>= 0.16.1) License: GPL-3 MD5sum: 58ff4c4f195a082fcc386188d2c5dc81 NeedsCompilation: no Title: Data Packages for ChAMP package Description: Provides datasets needed for ChAMP including a test dataset and blood controls for CNA analysis. biocViews: ExperimentData Author: Yuan Tian [ctb,aut], Tiffany Morris [cre,aut], Lee Stirling [ctb] and Andrew Teschendorff [ctb] Maintainer: Yuan Tian git_url: https://git.bioconductor.org/packages/ChAMPdata git_branch: RELEASE_3_20 git_last_commit: 373fee5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ChAMPdata_2.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChAMP, methyLImp2 dependencyCount: 23 Package: ChimpHumanBrainData Version: 1.44.0 Depends: affy,qvalue,limma,hexbin,statmod Suggests: hgu95av2cdf License: MIT MD5sum: a948b1af0f5549131860985eb9617116 NeedsCompilation: no Title: Chimp and human brain data package Description: This data package contains chimp and human brain data extracted from the ArrayExpress accession E-AFMX-2. Both human and chimp RNAs were run on human hgu95av2 Affymetrix arrays. It is a useful dataset for tutorials. biocViews: Tissue, Homo_sapiens_Data, Pan_troglodytes_Data, MicroarrayData, TissueMicroarrayData, GEO Author: Roman Jaksik, Naomi Altman, and Sean Davis Maintainer: Sean Davis git_url: https://git.bioconductor.org/packages/ChimpHumanBrainData git_branch: RELEASE_3_20 git_last_commit: a730353 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ChimpHumanBrainData_1.44.0.tar.gz vignettes: vignettes/ChimpHumanBrainData/inst/doc/DiffExpressVignette.pdf vignetteTitles: DiffExpressVignette.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ChimpHumanBrainData/inst/doc/DiffExpressVignette.R dependencyCount: 52 Package: chipenrich.data Version: 2.30.0 Depends: R (>= 3.5.0) Imports: AnnotationDbi, BiocGenerics, methods, GenomicRanges, GenomeInfoDb, IRanges, readr, rtracklayer, S4Vectors, utils Suggests: BiocStyle, devtools, knitr, rmarkdown, roxygen2, testthat, GO.db, org.Dm.eg.db, org.Dr.eg.db, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, TxDb.Dmelanogaster.UCSC.dm3.ensGene, TxDb.Dmelanogaster.UCSC.dm6.ensGene, TxDb.Drerio.UCSC.danRer10.refGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm9.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, TxDb.Rnorvegicus.UCSC.rn4.ensGene, TxDb.Rnorvegicus.UCSC.rn5.refGene, TxDb.Rnorvegicus.UCSC.rn6.refGene License: GPL-3 MD5sum: a6575fd0dccbe1285e969003f25cbaea NeedsCompilation: no Title: Companion package to chipenrich Description: Supporting data for the chipenrich package. Includes pre-defined gene sets, gene locus definitions, and mappability estimates. biocViews: ChIPSeq, Epigenetics, FunctionalGenomics, GeneSetEnrichment, HistoneModification, Regression Author: Ryan P. Welch [aut, cph], Chee Lee [aut], Raymond G. Cavalcante [aut], Kai Wang [cre], Laura J. Scott [ths], Maureen A. Sartor [ths] Maintainer: Kai Wang VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/chipenrich.data git_branch: RELEASE_3_20 git_last_commit: 4981ec3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/chipenrich.data_2.30.0.tar.gz vignettes: vignettes/chipenrich.data/inst/doc/chipenrich.data-vignette.html vignetteTitles: chipenrich.data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/chipenrich.data/inst/doc/chipenrich.data-vignette.R importsMe: chipenrich dependencyCount: 90 Package: ChIPexoQualExample Version: 1.30.0 Depends: R (>= 3.3) Suggests: BiocStyle, knitr, rmarkdown License: GPL (>= 2) MD5sum: 25cceaa30a8a7a8fa3208c0357cab4db NeedsCompilation: no Title: Example data for the ChIPexoQual package, which implements a quality control pipeline for ChIP-exo data Description: Data for the ChIPexoQual package, consisting of (3) chromosome 1 aligned reads from a ChIP-exo experiment for FoxA1 in mouse liver cell lines aligned to the mm9 genome. biocViews: ExperimentData, Genome Author: Rene Welch, Dongjun Chung, Sunduz Keles Maintainer: Rene Welch URL: http://www.github.com/keleslab/ChIPexoQualExample VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ChIPexoQualExample git_branch: RELEASE_3_20 git_last_commit: 4b8f5c9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ChIPexoQualExample_1.30.0.tar.gz vignettes: vignettes/ChIPexoQualExample/inst/doc/vignette.html vignetteTitles: ChIPexoQualExample hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ChIPexoQualExample/inst/doc/vignette.R suggestsMe: ChIPexoQual dependencyCount: 0 Package: chipseqDBData Version: 1.22.0 Imports: AnnotationHub, ExperimentHub, Rsamtools, S4Vectors Suggests: knitr, BiocStyle, rmarkdown License: CC BY 4.0 MD5sum: 5ed0016ad2bd769e4959a755f78d9ed0 NeedsCompilation: no Title: Data for the chipseqDB Workflow Description: Sorted and indexed BAM files for ChIP-seq libraries, for use in the chipseqDB workflow. BAM indices are also included. biocViews: SequencingData, ChIPSeqData, ExperimentHub Author: Aaron Lun [aut, cre] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/chipseqDBData git_branch: RELEASE_3_20 git_last_commit: 7c9d623 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/chipseqDBData_1.22.0.tar.gz vignettes: vignettes/chipseqDBData/inst/doc/chipseqDBData.html vignetteTitles: File manifest and statistics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/chipseqDBData/inst/doc/chipseqDBData.R dependsOnMe: csawBook suggestsMe: chipseqDB dependencyCount: 80 Package: ChIPXpressData Version: 1.44.0 Depends: bigmemory License: GPL (>=2) MD5sum: 2131b2a237b86063947c3526cfe53b6c NeedsCompilation: no Title: ChIPXpress Pre-built Databases Description: Contains pre-built mouse (GPL1261) and human (GPL570) database of gene expression profiles to be used for ChIPXpress ranking. biocViews: Homo_sapiens_Data, Mus_musculus_Data, GEO Author: George Wu Maintainer: George Wu git_url: https://git.bioconductor.org/packages/ChIPXpressData git_branch: RELEASE_3_20 git_last_commit: 110da8b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ChIPXpressData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChIPXpress dependencyCount: 7 Package: chromstaRData Version: 1.32.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: 6c16bfa6c7ff1f38da0154bd65f43d5a NeedsCompilation: no Title: ChIP-seq data for Demonstration Purposes Description: ChIP-seq data for demonstration purposes in the chromstaR package. biocViews: Mus_musculus_Data, StemCell, ChIPSeqData Author: Aaron Taudt Maintainer: Aaron Taudt git_url: https://git.bioconductor.org/packages/chromstaRData git_branch: RELEASE_3_20 git_last_commit: f4387d6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/chromstaRData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: epigraHMM dependencyCount: 0 Package: CLL Version: 1.46.0 Depends: R (>= 2.10), affy (>= 1.23.4), Biobase (>= 2.5.5) License: LGPL MD5sum: c8071d9e39beb9e79f8f81188299b7db NeedsCompilation: no Title: A Package for CLL Gene Expression Data Description: The CLL package contains the chronic lymphocytic leukemia (CLL) gene expression data. The CLL data had 24 samples that were either classified as progressive or stable in regards to disease progression. The data came from Dr. Sabina Chiaretti at Division of Hematology, Department of Cellular Biotechnologies and Hematology, University La Sapienza, Rome, Italy and Dr. Jerome Ritz at Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData Author: Elizabeth Whalen Maintainer: Robert Gentleman git_url: https://git.bioconductor.org/packages/CLL git_branch: RELEASE_3_20 git_last_commit: 08fc167 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CLL_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: phenomis dependencyCount: 12 Package: CLLmethylation Version: 1.26.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment, ExperimentHub Suggests: BiocStyle, ggplot2, knitr, rmarkdown License: LGPL MD5sum: 5ffc204c8259540a8cb73c7bf4549249 NeedsCompilation: no Title: Methylation data of primary CLL samples in PACE project Description: The package includes DNA methylation data for the primary Chronic Lymphocytic Leukemia samples included in the Primary Blood Cancer Encyclopedia (PACE) project. Raw data from the 450k DNA methylation arrays is stored in the European Genome-Phenome Archive (EGA) under accession number EGAS0000100174. For more information concerning the project please refer to the paper "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al., J. Clin. Invest. (2018) and R/Bioconductor package BloodCancerMultiOmics2017. biocViews: ExperimentData, DiseaseModel, CancerData, LeukemiaCancerData Author: Malgorzata Oles, Andreas Mock Maintainer: Malgorzata Oles , Andreas Mock VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CLLmethylation git_branch: RELEASE_3_20 git_last_commit: de0fb76 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CLLmethylation_1.26.0.tar.gz vignettes: vignettes/CLLmethylation/inst/doc/CLLmethylation.html vignetteTitles: CLLmethylation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CLLmethylation/inst/doc/CLLmethylation.R dependencyCount: 78 Package: CluMSIDdata Version: 1.22.0 Depends: R (>= 3.6) License: MIT + file LICENSE MD5sum: 11dcdada1eca12589c47e4d2bccdbe4d NeedsCompilation: no Title: Data for the CluMSID package Description: This package contains various LC-MS/MS and GC-MS data that is used in vignettes and examples in the CluMSID package. biocViews: ExperimentData, MassSpectrometryData Author: Tobias Depke [aut, cre] Maintainer: Tobias Depke git_url: https://git.bioconductor.org/packages/CluMSIDdata git_branch: RELEASE_3_20 git_last_commit: 2299bfa git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CluMSIDdata_1.22.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: CluMSID dependencyCount: 0 Package: clustifyrdatahub Version: 1.16.0 Depends: R (>= 4.0), ExperimentHub Imports: utils Suggests: clustifyr, Seurat, usethis, rmarkdown, knitr, tidyr, BiocStyle License: MIT + file LICENSE MD5sum: 33c4f3c64aa6b75787aa6435a74f6416 NeedsCompilation: no Title: External data sets for clustifyr in ExperimentHub Description: References made from external single-cell mRNA sequencing data sets, stored as average gene expression matrices. For use with clustifyr to assign cell type identities. biocViews: SingleCellData, SequencingData, MicroarrayData, ExperimentHub, RNASeqData, PackageTypeData, ExpressionData Author: Rui Fu [aut] (), Kent Riemondy [aut, cre] (), RNA Bioscience Initiative [fnd], Austin Gillen [ctb] (), Jay Hesselberth [ctb] (), Sidhant Puntambekar [ctb] Maintainer: Kent Riemondy URL: https://rnabioco.github.io/clustifyrdatahub/ VignetteBuilder: knitr BugReports: https://github.com/rnabioco/clustifyrdatahub/issues git_url: https://git.bioconductor.org/packages/clustifyrdatahub git_branch: RELEASE_3_20 git_last_commit: 296874e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/clustifyrdatahub_1.16.0.tar.gz vignettes: vignettes/clustifyrdatahub/inst/doc/clustifyrdatahub.html vignetteTitles: clustifyrdatahub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/clustifyrdatahub/inst/doc/clustifyrdatahub.R dependencyCount: 67 Package: cMap2data Version: 1.42.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 9d53c236a9c4759d420576e0795f8813 NeedsCompilation: no Title: Connectivity Map (version 2) Data Description: Data package which provides default drug profiles for the DrugVsDisease package as well as associated gene lists and data clusters used by the DrugVsDisease package. biocViews: Homo_sapiens_Data, MicroarrayData, GEO Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/cMap2data git_branch: RELEASE_3_20 git_last_commit: c2c28b2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/cMap2data_1.42.0.tar.gz vignettes: vignettes/cMap2data/inst/doc/cMap2data.pdf vignetteTitles: cMap2data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/cMap2data/inst/doc/cMap2data.R dependsOnMe: DrugVsDisease dependencyCount: 0 Package: cnvGSAdata Version: 1.42.0 Depends: R (>= 2.10), cnvGSA License: LGPL MD5sum: fe2b4f6e04f12f795b1b6fff123446ce NeedsCompilation: no Title: Data used in the vignette of the cnvGSA package Description: This package contains the data used in the vignette of the cnvGSA package. biocViews: ExperimentData, Genome, CopyNumberVariationData Author: Joseph Lugo Maintainer: Joseph Lugo git_url: https://git.bioconductor.org/packages/cnvGSAdata git_branch: RELEASE_3_20 git_last_commit: a952f3a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/cnvGSAdata_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cnvGSA dependencyCount: 33 Package: COHCAPanno Version: 1.42.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 4e0bffabf3c275f5d2a17c52e478d02d NeedsCompilation: no Title: Annotations for City of Hope CpG Island Analysis Pipeline Description: Provides genomic location, nearby CpG island and nearby gene information for common Illumina methylation array platforms biocViews: Homo_sapiens_Data, MicroarrayData, MethylationArrayData, CpGIslandData, GEO, ArrayExpress Author: Charles Warden Maintainer: Charles Warden git_url: https://git.bioconductor.org/packages/COHCAPanno git_branch: RELEASE_3_20 git_last_commit: dcaa9b2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/COHCAPanno_1.42.0.tar.gz vignettes: vignettes/COHCAPanno/inst/doc/COHCAPanno.pdf vignetteTitles: COHCAPanno Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COHCAPanno/inst/doc/COHCAPanno.R dependencyCount: 0 Package: colonCA Version: 1.48.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: 06c2d5c6e9853feb34e80befab9356f7 NeedsCompilation: no Title: exprSet for Alon et al. (1999) colon cancer data Description: exprSet for Alon et al. (1999) colon cancer data biocViews: ExperimentData, Tissue, CancerData, ColonCancerData, MicroarrayData, TissueMicroarrayData Author: Sylvia Merk Maintainer: W Sylvia Merk git_url: https://git.bioconductor.org/packages/colonCA git_branch: RELEASE_3_20 git_last_commit: 1dc3ed6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/colonCA_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: clustComp, copa dependencyCount: 6 Package: CONFESSdata Version: 1.34.0 Depends: R (>= 3.3) License: GPL-2 MD5sum: 0a7503b919b1c5aab67f16b48391d0ac NeedsCompilation: no Title: Example dataset for CONFESS package Description: Example text-converted C01 image files for use in the CONFESS Bioconductor package. biocViews: HighThroughputImagingData,CellCulture,Homo_sapiens_Data,ExpressionData Author: Diana LOW and Efthimios MOTAKIS Maintainer: Diana LOW git_url: https://git.bioconductor.org/packages/CONFESSdata git_branch: RELEASE_3_20 git_last_commit: ccf731e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CONFESSdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CONFESS dependencyCount: 0 Package: ConnectivityMap Version: 1.42.0 Depends: R (>= 2.15.1) Suggests: RUnit, BiocGenerics License: GPL-3 MD5sum: 2dac511c451dee045d1ccfc8d9f418b4 NeedsCompilation: no Title: Functional connections between drugs, genes and diseases as revealed by common gene-expression changes Description: The Broad Institute's Connectivity Map (cmap02) is a "large reference catalogue of gene-expression data from cultured human cells perturbed with many chemicals and genetic reagents", containing more than 7000 gene expression profiles and 1300 small molecules. biocViews: ExperimentData, CancerData, MicroarrayData Author: Paul Shannon Maintainer: Paul Shannon git_url: https://git.bioconductor.org/packages/ConnectivityMap git_branch: RELEASE_3_20 git_last_commit: 629b1be git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ConnectivityMap_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: COPDSexualDimorphism.data Version: 1.42.0 License: LGPL-2.1 MD5sum: 8b7f51a5af7e245e2bcc9e15aff15bf3 NeedsCompilation: no Title: Data to support sexually dimorphic and COPD differential analysis for gene expression and methylation. Description: Datasets to support COPDSexaulDimorphism Package. biocViews: ExperimentData, Tissue, COPDData Author: J Fah Sathirapongsasuti Maintainer: J Fah Sathirapongsasuti git_url: https://git.bioconductor.org/packages/COPDSexualDimorphism.data git_branch: RELEASE_3_20 git_last_commit: 91c2311 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/COPDSexualDimorphism.data_1.42.0.tar.gz vignettes: vignettes/COPDSexualDimorphism.data/inst/doc/lgrc_data.pdf vignetteTitles: SDCD Genes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COPDSexualDimorphism.data/inst/doc/lgrc_data.R dependencyCount: 0 Package: CopyhelpeR Version: 1.38.0 Depends: R (>= 3.5.0) Suggests: BiocStyle License: GPL-2 MD5sum: 706b5d208852ce6b037f74e2e988f38a NeedsCompilation: no Title: Helper files for CopywriteR Description: This package contains the helper files that are required to run the Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content and mappability files for the reference genomes hg18, hg19, hg38, mm9 and mm10. In addition, it contains a blacklist filter to remove regions that display CNV. Files are stored as GRanges objects from the GenomicRanges Bioconductor package. biocViews: Homo_sapiens, GenomicSequence Author: Thomas Kuilman Maintainer: Oscar Krijgsman git_url: https://git.bioconductor.org/packages/CopyhelpeR git_branch: RELEASE_3_20 git_last_commit: 1e42260 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CopyhelpeR_1.38.0.tar.gz vignettes: vignettes/CopyhelpeR/inst/doc/CopyhelpeR.pdf vignetteTitles: CopyhelpeR hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CopyhelpeR/inst/doc/CopyhelpeR.R dependencyCount: 0 Package: CopyNeutralIMA Version: 1.24.0 Depends: R (>= 3.5.0) Imports: ExperimentHub,Rdpack (>= 0.8) Suggests: BiocStyle,knitr,rmarkdown,minfi,conumee,minfiData License: Artistic-2.0 MD5sum: 3e54ad70dd8271f19765fedb5ee849cc NeedsCompilation: no Title: Copy Neutral Illumina Methylation Arrays Description: Provides a set of genomic copy neutral samples hybridized using Illumina Methylation arrays (450k and EPIC). biocViews: ExperimentData,Homo_sapiens_Data,MicroarrayData,TwoChannelData,MethylationArrayData,GEO Author: Xavier Pastor Hostench [aut, cre], Moritz Przybilla [aut] Maintainer: Xavier Pastor Hostench VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CopyNeutralIMA git_branch: RELEASE_3_20 git_last_commit: 5f1b911 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CopyNeutralIMA_1.24.0.tar.gz vignettes: vignettes/CopyNeutralIMA/inst/doc/CopyNeutralIMA.html vignetteTitles: CopyNeutralIMA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CopyNeutralIMA/inst/doc/CopyNeutralIMA.R dependencyCount: 69 Package: CoSIAdata Version: 1.6.0 Depends: R (>= 4.3.0), ExperimentHub (>= 2.6.0), Suggests: BiocStyle (>= 2.26.0), utils (>= 4.3.0), AnnotationHub (>= 3.7.3), knitr (>= 1.42) License: MIT + file LICENSE MD5sum: 6527ebc803b5f2e34ca3c434e9e19b53 NeedsCompilation: no Title: VST normalized RNA-Sequencing data with annotations for multiple species samples from Bgee Description: Variance Stabilized Transformation of Read Counts derived from Bgee RNA-Seq Expression Data. Expression Data includes annotations and is across 6 species (Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio, Drosophila melanogaster, and Caenorhabditis elegans) and across more than 132 tissues. The data is represented as a RData files and is available in ExperimentHub. biocViews: ExperimentHub, RNASeqData, ExperimentData, PackageTypeData, OrganismData, Tissue,Caenorhabditis_elegans_Data, Danio_rerio_Data, Drosophila_melanogaster_Data, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data, SequencingData, ExpressionData Author: Anisha Haldar [aut] (), Vishal H. Oza [aut] (), Amanda D. Clark [cre, aut] (), Nathaniel S. DeVoss [aut] (), Brittany N. Lasseigne [aut] () Maintainer: Amanda D. Clark VignetteBuilder: knitr BugReports: https://github.com/lasseignelab/CoSIAdata/issues git_url: https://git.bioconductor.org/packages/CoSIAdata git_branch: RELEASE_3_20 git_last_commit: 56d7ccc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CoSIAdata_1.6.0.tar.gz vignettes: vignettes/CoSIAdata/inst/doc/CoSIAdata_vignette.html vignetteTitles: CoSIAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/CoSIAdata/inst/doc/CoSIAdata_vignette.R dependencyCount: 67 Package: COSMIC.67 Version: 1.42.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, SummarizedExperiment, VariantAnnotation Suggests: testthat, BiocStyle, knitr License: GPL-3 MD5sum: 39f8a708222453da072d3b208afa15e3 NeedsCompilation: no Title: COSMIC.67 Description: COSMIC: Catalogue Of Somatic Mutations In Cancer, version 67 (2013-10-24) biocViews: ExperimentData, Genome, CancerData Author: Julian Gehring Maintainer: Julian Gehring VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/COSMIC.67 git_branch: RELEASE_3_20 git_last_commit: 31466a3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/COSMIC.67_1.42.0.tar.gz vignettes: vignettes/COSMIC.67/inst/doc/COSMIC.67.pdf vignetteTitles: COSMIC.67 - PDF hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COSMIC.67/inst/doc/COSMIC.67.R importsMe: appreci8R dependencyCount: 79 Package: CRCL18 Version: 1.26.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: 8e65ec467f42c7419a0f0a5d986c99f2 NeedsCompilation: no Title: CRC cell line dataset Description: colorectal cancer mRNA and miRNA on 18 cell lines biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/CRCL18 git_branch: RELEASE_3_20 git_last_commit: b241386 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CRCL18_1.26.0.tar.gz vignettes: vignettes/CRCL18/inst/doc/CRCL18Vignette.pdf vignetteTitles: CRCL18 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CRCL18/inst/doc/CRCL18Vignette.R dependencyCount: 6 Package: crisprScoreData Version: 1.10.0 Depends: ExperimentHub Imports: AnnotationHub, utils Suggests: BiocStyle, knitr, rmarkdown, testthat License: MIT + file LICENSE MD5sum: 9e599deca608e23b7ec35db0579bff1b NeedsCompilation: no Title: Pre-trained models for the crisprScore package Description: Provides an interface to access pre-trained models for on-target and off-target gRNA activity prediction algorithms implemented in the crisprScore package. Pre-trained model data are stored in the ExperimentHub database. Users should consider using the crisprScore package directly to use and load the pre-trained models. biocViews: ExperimentHub, Homo_sapiens_Data Author: Jean-Philippe Fortin [aut, cre, cph] Maintainer: Jean-Philippe Fortin URL: https://github.com/crisprVerse/crisprScoreData/issues VignetteBuilder: knitr BugReports: https://github.com/crisprVerse/crisprScoreData git_url: https://git.bioconductor.org/packages/crisprScoreData git_branch: RELEASE_3_20 git_last_commit: 80d4f8f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/crisprScoreData_1.10.0.tar.gz vignettes: vignettes/crisprScoreData/inst/doc/crisprScoreData.html vignetteTitles: crisprScoreData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/crisprScoreData/inst/doc/crisprScoreData.R dependsOnMe: crisprScore importsMe: crisprVerse dependencyCount: 67 Package: curatedAdipoArray Version: 1.18.0 Depends: R (>= 4.0) Suggests: knitr, rmarkdown, ExperimentHub, SummarizedExperiment License: GPL-3 + file LICENSE MD5sum: f61b7c6abf04088146901d2afc5698b0 NeedsCompilation: no Title: A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations Description: A curated dataset of Microarrays samples. The samples are MDI- induced pre-adipocytes (3T3-L1) at different time points/stage of differentiation under different types of genetic (knockdown/overexpression) and pharmacological (drug treatment) perturbations. The package documents the data collection and processing. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, ExperimentHub, GEO, MicroarrayData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoArray VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoArray/issues git_url: https://git.bioconductor.org/packages/curatedAdipoArray git_branch: RELEASE_3_20 git_last_commit: e8778bd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedAdipoArray_1.18.0.tar.gz vignettes: vignettes/curatedAdipoArray/inst/doc/curatedAdipoArray.html vignetteTitles: Using curatedAdipoArray hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/curatedAdipoArray/inst/doc/curatedAdipoArray.R dependencyCount: 0 Package: curatedAdipoChIP Version: 1.22.0 Depends: R (>= 3.6), SummarizedExperiment, ExperimentHub Suggests: knitr, rmarkdown, GenomicFeatures, ChIPseeker, AnnotationDbi, S4Vectors, DESeq2, fastqcr, devtools, testthat, readr, dplyr, tidyr, ggplot2 License: GPL-3 MD5sum: 576a410fb96440ce887b3afa3e140339 NeedsCompilation: no Title: A Curated ChIP-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Description: A curated dataset of publicly available ChIP-sequencing of transcription factors, chromatin remodelers and histone modifications in the 3T3-L1 pre-adipocyte cell line. The package document the data collection, pre-processing and processing of the data. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, ExperimentHub, GEO, ChIPSeqData, SequencingData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoChIP VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoChIP/issues git_url: https://git.bioconductor.org/packages/curatedAdipoChIP git_branch: RELEASE_3_20 git_last_commit: 525b374 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedAdipoChIP_1.22.0.tar.gz vignettes: vignettes/curatedAdipoChIP/inst/doc/curatedAdipoChIP.html vignetteTitles: Using curatedAdipoChIP hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedAdipoChIP/inst/doc/curatedAdipoChIP.R dependencyCount: 78 Package: curatedAdipoRNA Version: 1.22.0 Depends: R (>= 3.6), SummarizedExperiment Suggests: knitr, rmarkdown, DESeq2, fastqcr, devtools, testthat, readr, dplyr, tidyr, ggplot2, S4Vectors License: GPL-3 MD5sum: eb2fb76b4e65349c0f81211df911722e NeedsCompilation: no Title: A Curated RNA-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Description: A curated dataset of RNA-Seq samples. The samples are MDI-induced pre-phagocytes (3T3-L1) at different time points/stage of differentiation. The package document the data collection, pre-processing and processing. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, GEO, RNASeqData, SequencingData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoRNA VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoRNA/issues git_url: https://git.bioconductor.org/packages/curatedAdipoRNA git_branch: RELEASE_3_20 git_last_commit: 5b0d98e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedAdipoRNA_1.22.0.tar.gz vignettes: vignettes/curatedAdipoRNA/inst/doc/curatedadiporna_vignette.html vignetteTitles: Using curatedAdipoRNA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedAdipoRNA/inst/doc/curatedadiporna_vignette.R dependencyCount: 36 Package: curatedBladderData Version: 1.42.0 Depends: R (>= 2.10.0), affy Suggests: BiocStyle, survival, xtable, sva, genefilter, logging License: Artistic-2.0 MD5sum: 83bfc27c8454339626527a592867303e NeedsCompilation: no Title: Bladder Cancer Gene Expression Analysis Description: The curatedBladderData package provides relevant functions and data for gene expression analysis in patients with bladder cancer. biocViews: ExperimentData, CancerData, OvarianCancerData, MicroarrayData, ExpressionData Author: Markus Riester Maintainer: Markus Riester URL: https://github.com/lima1/curatedBladderData git_url: https://git.bioconductor.org/packages/curatedBladderData git_branch: RELEASE_3_20 git_last_commit: 8c4849b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedBladderData_1.42.0.tar.gz vignettes: vignettes/curatedBladderData/inst/doc/curatedBladderData_vignette.pdf vignetteTitles: curatedBladderData_vignette.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedBladderData/inst/doc/curatedBladderData_vignette.R suggestsMe: covEB dependencyCount: 12 Package: curatedBreastData Version: 2.34.0 Depends: R (>= 3.0.0), XML, ggplot2, impute, Biobase, BiocStyle Imports: methods, stats License: GPL (>= 2) MD5sum: cc543a530d62b3ad9eedc25abc953332 NeedsCompilation: no Title: Curated breast cancer gene expression data with survival and treatment information Description: Curated human breast cancer tissue S4 ExpresionSet datasets from over 16 clinical trials comprising over 2,000 patients. All datasets contain at least one type of outcomes variable and treatment information (minimum level: whether they had chemotherapy and whether they had hormonal therapy). Includes code to post-process these datasets. biocViews: ExperimentData, ExpressionData, CancerData, Tissue, BreastCancerData, qPCRData, MicroarrayData, TissueMicroarrayData, GEO Author: Katie Planey Maintainer: Katie Planey git_url: https://git.bioconductor.org/packages/curatedBreastData git_branch: RELEASE_3_20 git_last_commit: 04ec2bd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedBreastData_2.34.0.tar.gz vignettes: vignettes/curatedBreastData/inst/doc/curatedBreastData-manual.pdf vignetteTitles: Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedBreastData/inst/doc/curatedBreastData-manual.R dependencyCount: 64 Package: curatedMetagenomicData Version: 3.14.0 Depends: R (>= 4.1.0), SummarizedExperiment, TreeSummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, mia, purrr, rlang, stringr, tibble, tidyr, tidyselect Suggests: BiocStyle, DT, knitr, readr, rmarkdown, scater, testthat, utils, uwot, vegan License: Artistic-2.0 MD5sum: efb481b40f689c417e9dbab4a98f71f1 NeedsCompilation: no Title: Curated Metagenomic Data of the Human Microbiome Description: The curatedMetagenomicData package provides standardized, curated human microbiome data for novel analyses. It includes gene families, marker abundance, marker presence, pathway abundance, pathway coverage, and relative abundance for samples collected from different body sites. The bacterial, fungal, and archaeal taxonomic abundances for each sample were calculated with MetaPhlAn3, and metabolic functional potential was calculated with HUMAnN3. The manually curated sample metadata and standardized metagenomic data are available as (Tree)SummarizedExperiment objects. biocViews: ExperimentHub, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch Author: Lucas schiffer [aut, cre] (), Levi Waldron [aut], Edoardo Pasolli [ctb], Jennifer Wokaty [ctb], Sean Davis [ctb], Audrey Renson [ctb], Chloe Mirzayi [ctb], Paolo Manghi [ctb], Samuel Gamboa-Tuz [ctb], Marcel Ramos [ctb], Valerie Obenchain [ctb], Kelly Eckenrode [ctb], Nicola Segata [ctb] Maintainer: Lucas schiffer URL: https://github.com/waldronlab/curatedMetagenomicData VignetteBuilder: knitr BugReports: https://github.com/waldronlab/curatedMetagenomicData/issues git_url: https://git.bioconductor.org/packages/curatedMetagenomicData git_branch: RELEASE_3_20 git_last_commit: 80d4eb6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedMetagenomicData_3.14.0.tar.gz vignettes: vignettes/curatedMetagenomicData/inst/doc/curatedMetagenomicData.html vignetteTitles: curatedMetagenomicData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedMetagenomicData/inst/doc/curatedMetagenomicData.R suggestsMe: OmicsMLRepoR, lefser dependencyCount: 198 Package: curatedOvarianData Version: 1.44.0 Depends: R (>= 3.0.0), Biobase Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 MD5sum: 8e490181b4476a15c64aa78f6347defb NeedsCompilation: no Title: Clinically Annotated Data for the Ovarian Cancer Transcriptome Description: The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer. biocViews: ExperimentData, RNASeqData, CancerData, OvarianCancerData, MicroarrayData Author: Benjamin F. Ganzfried, Markus Riester, Steve Skates, Victoria Wang, Thomas Risch, Benjamin Haibe-Kains, Svitlana Tyekucheva, Jie Ding, Ina Jazic, Michael Birrer, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron Maintainer: Levi Waldron URL: http://bcb.dfci.harvard.edu/ovariancancer git_url: https://git.bioconductor.org/packages/curatedOvarianData git_branch: RELEASE_3_20 git_last_commit: 7abb677 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedOvarianData_1.44.0.tar.gz vignettes: vignettes/curatedOvarianData/inst/doc/curatedOvarianData_vignette.pdf vignetteTitles: curatedOvarianData_vignette.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedOvarianData/inst/doc/curatedOvarianData_vignette.R suggestsMe: TOP, doppelgangR dependencyCount: 6 Package: curatedPCaData Version: 1.2.0 Depends: R (>= 4.4.0), S4Vectors (>= 0.23.18), MultiAssayExperiment, RaggedExperiment Imports: ExperimentHub, AnnotationHub, utils, methods, rlang, stats, reshape2 Suggests: BiocStyle, knitr, ggplot2, rmarkdown, survival, survminer, ComplexHeatmap, corrplot, formatR License: CC BY 4.0 MD5sum: 50af62091a079317891f2207487d81ac NeedsCompilation: no Title: Curated Prostate Cancer Data Description: The package curatedPCaData offers a selection of annotated prostate cancer datasets featuring multiple omics, manually curated metadata, and derived downstream variables. The studies are offered as MultiAssayExperiment (MAE) objects via ExperimentHub, and comprise of clinical characteristics tied to gene expression, copy number alteration and somatic mutation data. Further, downstream features computed from these multi-omics data are offered. Multiple vignettes help grasp characteristics of the various studies and provide example exploratory and meta-analysis of leveraging the multiple studies provided here-in. biocViews: ExperimentHub, ExperimentData, ProstateCancerData, CancerData, Homo_sapiens_Data, MicroarrayData, RNASeqData, ExpressionData, CopyNumberVariationData, Somatic, GEO, ReproducibleResearch Author: Teemu Daniel Laajala [aut, cre] (), Jordan Creed [ctb], Christelle Colin Leitzinger [ctb], Varsha Sreekanth [ctb], Federico Calboli [ctb], Kalaimathy Singaravelu [ctb], Michael Orman [ctb], Alex Soupir [ctb], Anni Halkola [ctb] Maintainer: Teemu Daniel Laajala URL: https://github.com/Syksy/curatedPCaData VignetteBuilder: knitr BugReports: https://github.com/Syksy/curatedPCaData/issues git_url: https://git.bioconductor.org/packages/curatedPCaData git_branch: RELEASE_3_20 git_last_commit: 8cd7682 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedPCaData_1.2.0.tar.gz vignettes: vignettes/curatedPCaData/inst/doc/overview.html vignetteTitles: Overview to curatedPCaData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedPCaData/inst/doc/overview.R dependencyCount: 84 Package: curatedTBData Version: 2.2.0 Depends: R (>= 4.3.0) Imports: AnnotationHub, ExperimentHub, MultiAssayExperiment, rlang, stats Suggests: BiocStyle, DT, dplyr, HGNChelper, knitr, methods, rmarkdown, SummarizedExperiment, sva, testthat License: MIT + file LICENSE MD5sum: efdabbcb7fef2e04ae9a472637a7caeb NeedsCompilation: no Title: Curation of existing tuberculosis transcriptomic studies Description: The curatedTBData is an R package that provides standardized, curated tuberculosis(TB) transcriptomic studies. The initial release of the package contains 49 studies. The curatedTBData package allows users to access tuberculosis trancriptomic efficiently and to make efficient comparison for different TB gene signatures across multiple datasets. biocViews: ExperimentHub, GEO, Homo_sapiens_Data Author: Xutao Wang [aut, cre], W. Evan Johnson [aut], Prasad Patil [aut] Maintainer: Xutao Wang URL: https://github.com/compbiomed/curatedTBData VignetteBuilder: knitr BugReports: https://github.com/compbiomed/curatedTBData/issues git_url: https://git.bioconductor.org/packages/curatedTBData git_branch: RELEASE_3_20 git_last_commit: ca3d4fd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/curatedTBData_2.2.0.tar.gz vignettes: vignettes/curatedTBData/inst/doc/curatedTBData.html vignetteTitles: curatedTBData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/curatedTBData/inst/doc/curatedTBData.R dependencyCount: 80 Package: curatedTCGAData Version: 1.28.1 Depends: R (>= 4.4.0), MultiAssayExperiment Imports: AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils Suggests: BiocStyle, knitr, RaggedExperiment, readr, rmarkdown, TCGAutils, testthat License: Artistic-2.0 MD5sum: 21b4e364a9d056d7010c96fc6fae28ed NeedsCompilation: no Title: Curated Data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects Description: This package provides publicly available data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment objects. MultiAssayExperiment integrates multiple assays (e.g., RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. It also links assay barcodes with patient identifiers, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire multi-'omics experiment. biocViews: Homo_sapiens_Data, ReproducibleResearch, CancerData, ExperimentHub Author: Marcel Ramos [aut, cre] (), Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb] Maintainer: Marcel Ramos VignetteBuilder: knitr BugReports: https://github.com/waldronlab/curatedTCGAData/issues git_url: https://git.bioconductor.org/packages/curatedTCGAData git_branch: RELEASE_3_20 git_last_commit: 4db112a git_last_commit_date: 2024-11-13 Date/Publication: 2024-11-14 source.ver: src/contrib/curatedTCGAData_1.28.1.tar.gz vignettes: vignettes/curatedTCGAData/inst/doc/curatedTCGAData.html vignetteTitles: curatedTCGAData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedTCGAData/inst/doc/curatedTCGAData.R importsMe: AMARETTO suggestsMe: CNVRanger, TCGAutils, dce, glmSparseNet dependencyCount: 84 Package: CytoMethIC Version: 1.2.0 Depends: R (>= 4.4.0), ExperimentHub Imports: tibble, utils, stats, tools, sesame, methods, sesameData, BiocParallel, BiocManager Suggests: BiocStyle, randomForest, testthat, knitr, rmarkdown, e1071, xgboost, keras, tensorflow License: Artistic-2.0 MD5sum: fec5611f2f4d02c220e277b66cea9439 NeedsCompilation: no Title: DNA methylation-based classification and regression Description: This package provides DNA methylation-based prediction of cancer type, molecular signature and clinical outcomes. It provides convenience functions for missing value imputation, probe ID conversion, model interpretation and visualization. The package links to our models on ExperimentHub. The package currently supports HM450, EPIC and EPICv2. biocViews: ExperimentData, MicroarrayData, Genome, ExperimentHub, MethylationArrayData, CancerData, PackageTypeData Author: Wanding Zhou [aut] (), Jacob Fanale [aut, cre] () Maintainer: Jacob Fanale URL: https://github.com/zhou-lab/CytoMethIC VignetteBuilder: knitr BugReports: https://github.com/zhou-lab/CytoMethIC/issues git_url: https://git.bioconductor.org/packages/CytoMethIC git_branch: RELEASE_3_20 git_last_commit: 0ab3d8b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/CytoMethIC_1.2.0.tar.gz vignettes: vignettes/CytoMethIC/inst/doc/CytoMethIC.html vignetteTitles: CytoMethIC User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CytoMethIC/inst/doc/CytoMethIC.R dependencyCount: 115 Package: DAPARdata Version: 1.36.0 Depends: R (>= 4.3.0), MSnbase Imports: utils Suggests: knitr, DAPAR, BiocStyle License: GPL-2 MD5sum: dd1a03112ed37c1b800badd879a70bcf NeedsCompilation: no Title: Data accompanying the DAPAR and Prostar packages Description: Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32. biocViews: ExperimentData, MassSpectrometryData, Proteome Author: Samuel Wieczorek [cre,aut], Thomas Burger [aut], Enora Fremy [aut] Maintainer: Samuel Wieczorek URL: http://www.prostar-proteomics.org/ VignetteBuilder: knitr BugReports: https://github.com/prostarproteomics/DAPARdata/issues git_url: https://git.bioconductor.org/packages/DAPARdata git_branch: RELEASE_3_20 git_last_commit: a2c76d1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DAPARdata_1.36.0.tar.gz vignettes: vignettes/DAPARdata/inst/doc/dapardata.html vignetteTitles: DAPARdata User Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DAPARdata/inst/doc/dapardata.R importsMe: DAPAR, Prostar dependencyCount: 137 Package: davidTiling Version: 1.46.0 Depends: R (>= 2.10), Biobase (>= 2.5.5), tilingArray, GO.db License: LGPL MD5sum: 4519817d00468376b430162bb2464c61 NeedsCompilation: no Title: Data and analysis scripts for David, Huber et al. yeast tiling array paper Description: This package contains the data for the paper by L. David et al. in PNAS 2006 (PMID 16569694): 8 CEL files of Affymetrix genechips, an ExpressionSet object with the raw feature data, a probe annotation data structure for the chip and the yeast genome annotation (GFF file) that was used. In addition, some custom-written analysis functions are provided, as well as R scripts in the scripts directory. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, MicroarrayData, ReproducibleResearch Author: Wolfgang Huber , Joern Toedling Maintainer: Wolfgang Huber URL: http://www.ebi.ac.uk/huber git_url: https://git.bioconductor.org/packages/davidTiling git_branch: RELEASE_3_20 git_last_commit: af88acd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/davidTiling_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 88 Package: depmap Version: 1.20.0 Depends: R (>= 3.6), methods, dplyr Imports: utils, ExperimentHub, AnnotationHub, BiocFileCache, httr2, curl, tibble Suggests: knitr, rmarkdown, BiocStyle, viridis, gridExtra, ggplot2, readr, stringr, tidyverse, magick License: Artistic-2.0 MD5sum: 7570708bfa0edac82ad43e8f73600460 NeedsCompilation: no Title: Cancer Dependency Map Data Package Description: The depmap package is a data package that accesses datsets from the Broad Institute DepMap cancer dependency study using ExperimentHub. Datasets from the most current release are available, including RNAI and CRISPR-Cas9 gene knockout screens quantifying the genetic dependency for select cancer cell lines. Additional datasets are also available pertaining to the log copy number of genes for select cell lines, protein expression of cell lines as measured by reverse phase protein lysate microarray (RPPA), 'Transcript Per Million' (TPM) data, as well as supplementary datasets which contain metadata and mutation calls for the other datasets found in the current release. The 19Q3 release adds the drug_dependency dataset, that contains cancer cell line dependency data with respect to drug and drug-candidate compounds. The 20Q2 release adds the proteomic dataset that contains quantitative profiling of proteins via mass spectrometry. This package will be updated on a quarterly basis to incorporate the latest Broad Institute DepMap Public cancer dependency datasets. All data made available in this package was generated by the Broad Institute DepMap for research purposes and not intended for clinical use. This data is distributed under the Creative Commons license (Attribution 4.0 International (CC BY 4.0)). biocViews: ExperimentHub, ExperimentData, ReproducibleResearch, RepositoryData, AssayDomainData, CopyNumberVariationData, DiseaseModel, CancerData, BreastCancerData, ColonCancerData, KidneyCancerData, LeukemiaCancerData, LungCancerData, OvarianCancerData, ProstateCancerData, OrganismData, Homo_sapiens_Data, PackageTypeData, SpecimenSource, CellCulture, Genome, Proteome, StemCell, Tissue Author: Laurent Gatto [cre, aut] (), Theo Killian [aut], Alexander Peltzer [ctb] () Maintainer: Laurent Gatto VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/depmap git_branch: RELEASE_3_20 git_last_commit: 1c5d837 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/depmap_1.20.0.tar.gz vignettes: vignettes/depmap/inst/doc/depmap.html, vignettes/depmap/inst/doc/using_depmap.html vignetteTitles: depmap, depmap use cases hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/depmap/inst/doc/depmap.R, vignettes/depmap/inst/doc/using_depmap.R importsMe: CBNplot, DeepTarget, MAGeCKFlute suggestsMe: CRISPRball, mastR, BioPlex dependencyCount: 68 Package: derfinderData Version: 2.24.0 Depends: R (>= 3.5.0) Suggests: sessioninfo, knitr (>= 1.6), RefManageR, rmarkdown (>= 0.3.3), BiocStyle License: Artistic-2.0 MD5sum: 29d921dc8f08b7699fdf23d90fbca0d1 NeedsCompilation: no Title: Processed BigWigs from BrainSpan for examples Description: Processed 22 samples from BrainSpan keeping only the information for chromosome 21. Data is stored in the BigWig format and is used for examples in other packages. biocViews: ExperimentData, Homo_sapiens_Data, RNASeqData Author: Leonardo Collado-Torres [aut, cre] (), Andrew Jaffe [aut] (), Jeffrey Leek [aut, ths] () Maintainer: Leonardo Collado-Torres URL: https://github.com/leekgroup/derfinderData VignetteBuilder: knitr BugReports: https://github.com/leekgroup/derfinderData/issues git_url: https://git.bioconductor.org/packages/derfinderData git_branch: RELEASE_3_20 git_last_commit: 6e550eb git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/derfinderData_2.24.0.tar.gz vignettes: vignettes/derfinderData/inst/doc/derfinderData.html vignetteTitles: Introduction to derfinderData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/derfinderData/inst/doc/derfinderData.R suggestsMe: derfinderPlot, derfinder dependencyCount: 0 Package: DeSousa2013 Version: 1.42.0 Depends: R (>= 2.15), Imports: affy, frma, frmaTools, hgu133plus2.db, hgu133plus2frmavecs, sva, rgl, ConsensusClusterPlus, cluster, siggenes, ROCR, pamr, survival, gplots, AnnotationDbi, Biobase License: Artistic-2.0 MD5sum: 62b95939db5cc4149c72f97a4dbd5ca6 NeedsCompilation: no Title: Poor prognosis colon cancer is defined by a molecularly distinct subtype and precursor lesion Description: This package reproduces the main pipeline to analyze the AMC-AJCCII-90 microarray data set in De Sousa et al. accepted by Nature Medicine in 2013. biocViews: CancerData, ColonCancerData, MicroarrayData Author: Xin Wang Maintainer: Xin Wang git_url: https://git.bioconductor.org/packages/DeSousa2013 git_branch: RELEASE_3_20 git_last_commit: 1b83a0b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DeSousa2013_1.42.0.tar.gz vignettes: vignettes/DeSousa2013/inst/doc/DeSousa2013-Vignette.pdf vignetteTitles: Main vignette:Poor prognosis colon cancer is defined by a molecular distinct subtype and develops from serrated precursor lesions hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DeSousa2013/inst/doc/DeSousa2013-Vignette.R dependencyCount: 126 Package: DExMAdata Version: 1.14.0 Depends: R (>= 4.1) Imports: Biobase Suggests: BiocStyle License: GPL-2 MD5sum: 6c03e9b7bdf0dd3c28a6aedbecf1de44 NeedsCompilation: no Title: Data package for DExMA package Description: Data objects needed to allSameID() function of DExMA package. There are also some objects that are necessary to be able to apply the examples of the DExMA package, which illustrate package functionality. biocViews: ExperimentData, OrganismData, MicroarrayData Author: Juan Antonio Villatoro-García [aut, cre], Pedro Carmona-Sáez [aut] Maintainer: Juan Antonio Villatoro-García git_url: https://git.bioconductor.org/packages/DExMAdata git_branch: RELEASE_3_20 git_last_commit: e8ae8d0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DExMAdata_1.14.0.tar.gz vignettes: vignettes/DExMAdata/inst/doc/DExMAdata.pdf vignetteTitles: Data for DExMA package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DExMAdata/inst/doc/DExMAdata.R dependsOnMe: DExMA dependencyCount: 6 Package: diffloopdata Version: 1.34.0 Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: f5906bd3830809ec05a36aaaaab6f8dc NeedsCompilation: no Title: Example ChIA-PET Datasets for the diffloop Package Description: ChIA-PET example datasets and additional data for use with the diffloop package. biocViews: ExperimentData, SequencingData Author: Caleb Lareau [aut], Martin Aryee [aut, cre] Maintainer: Caleb Lareau VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/diffloopdata git_branch: RELEASE_3_20 git_last_commit: 1ca9cbd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/diffloopdata_1.34.0.tar.gz vignettes: vignettes/diffloopdata/inst/doc/diffloopdata.html vignetteTitles: diffloopdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE dependencyCount: 0 Package: diggitdata Version: 1.38.0 Depends: R(>= 2.14.0), Biobase, methods Imports: viper License: GPL (>=2) MD5sum: 156206689cf62a4efdaed7eab550c59c NeedsCompilation: no Title: Example data for the diggit package Description: This package provides expression profile and CNV data for glioblastoma from TCGA, and transcriptional and post-translational regulatory networks assembled with the ARACNe and MINDy algorithms, respectively. biocViews: ExperimentData, Cancer Author: Mariano Javier Alvarez Maintainer: Mariano Javier Alvarez git_url: https://git.bioconductor.org/packages/diggitdata git_branch: RELEASE_3_20 git_last_commit: b736d7f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/diggitdata_1.38.0.tar.gz vignettes: vignettes/diggitdata/inst/doc/diggitdata.pdf vignetteTitles: Using bcellViper hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/diggitdata/inst/doc/diggitdata.R suggestsMe: diggit dependencyCount: 90 Package: DLBCL Version: 1.46.0 Depends: R(>= 2.11.0), Biobase, graph License: GPL (>=2) MD5sum: e797d9de721064ed702845a0bd87b95e NeedsCompilation: no Title: Diffuse large B-cell lymphoma expression data Description: This package provides additional expression data on diffuse large B-cell lymphomas for the BioNet package. biocViews: ExperimentData, CancerData, MicroarrayData, ChipOnChipData Author: Marcus Dittrich and Daniela Beisser Maintainer: Marcus Dittrich URL: http://bionet.bioapps.biozentrum.uni-wuerzburg.de/ git_url: https://git.bioconductor.org/packages/DLBCL git_branch: RELEASE_3_20 git_last_commit: 7e6a541 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DLBCL_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: BioNet, mwcsr dependencyCount: 8 Package: DmelSGI Version: 1.37.0 Depends: R (>= 3.0) Imports: grid, TSP, limma, rhdf5, knitr, abind, gplots, igraph, grDevices, graphics, stats Suggests: BiocStyle, EBImage, RColorBrewer, RNAinteractMAPK, hwriter, xtable, beeswarm License: Artistic-2.0 MD5sum: a4f0d7af10a602b42c62e78a54785269 NeedsCompilation: no Title: Experimental data and documented source code for the paper "A Map of Directional Genetic Interactions in a Metazoan Cell" Description: The package contains the experimental data and documented source code of the manuscript "Fischer et al., A Map of Directional Genetic Interactions in a Metazoan Cell, eLife, 2015, in Press.". The vignette code generates all figures in the paper. biocViews: MicrotitrePlateAssayData, CellCulture, HighthroughputImagingData, Drosophila_melanogaster_Data, ExperimentData, HighThroughputImagingData, ReproducibleResearch Author: Bernd Fischer [aut], Wolfgang Huber [ctb], Mike Smith [cre] Maintainer: Mike Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DmelSGI git_branch: devel git_last_commit: a3f0b3c git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/DmelSGI_1.37.0.tar.gz vignettes: vignettes/DmelSGI/inst/doc/DmelSGI.pdf vignetteTitles: DmelSGI hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DmelSGI/inst/doc/DmelSGI.R suggestsMe: FeatSeekR dependencyCount: 38 Package: DMRcatedata Version: 2.24.0 Depends: R (>= 4.0), ExperimentHub Imports: GenomicFeatures, Gviz, readxl, plyr, rtracklayer, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Suggests: knitr License: GPL-3 MD5sum: 0f41fc4cf1bac6a239be095eab5139c0 NeedsCompilation: no Title: Data Package for DMRcate Description: This package contains 9 data objects supporting functionality and examples of the Bioconductor package DMRcate. biocViews: ExperimentHub, ExperimentData, SNPData, Homo_sapiens_Data, Mus_musculus_Data, SequencingData, MicroarrayData, Genome Author: Tim Peters Maintainer: Tim Peters VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DMRcatedata git_branch: RELEASE_3_20 git_last_commit: 65477d6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DMRcatedata_2.24.0.tar.gz vignettes: vignettes/DMRcatedata/inst/doc/DMRcatedata.pdf vignetteTitles: The DMRcate package user's guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DMRcatedata/inst/doc/DMRcatedata.R suggestsMe: DMRcate dependencyCount: 208 Package: DNAZooData Version: 1.6.0 Depends: R (>= 4.2), HiCExperiment Imports: BiocFileCache, S4Vectors, rjson, utils, tools Suggests: dplyr, testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: ebf660c8af5efe9626a5e9a80c8a897f NeedsCompilation: no Title: DNA Zoo data package Description: DNAZooData is a data package giving programmatic access to genome assemblies and Hi-C contact matrices uniformly processed by the [DNA Zoo Consortium](https://www.dnazoo.org/). The matrices are available in the multi-resolution `.hic` format. A URL to corrected genome assemblies in `.fastq` format is also provided to the end-user. biocViews: ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/DNAZooData VignetteBuilder: knitr BugReports: https://github.com/js2264/DNAZooData/issues git_url: https://git.bioconductor.org/packages/DNAZooData git_branch: RELEASE_3_20 git_last_commit: 65e9d12 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DNAZooData_1.6.0.tar.gz vignettes: vignettes/DNAZooData/inst/doc/DNAZooData.html vignetteTitles: DNAZooData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/DNAZooData/inst/doc/DNAZooData.R importsMe: OHCA dependencyCount: 91 Package: DonaPLLP2013 Version: 1.44.0 Depends: EBImage, parallel License: Artistic-2.0 MD5sum: f8ac609e6018b26a1aec2d087a8f30f4 NeedsCompilation: no Title: Supplementary data package for Dona et al. (2013) containing example images and tables Description: An experiment data package associated with the publication Dona et al. (2013). Package contains runnable vignettes showing an example image segmentation for one posterior lateral line primordium, and also the data table and code used to analyze tissue-scale lifetime-ratio statistics. biocViews: ExperimentData, Tissue Author: Erika Dona, Joseph D. Barry, Guillaume Valentin, Charlotte Quirin, Anton Khmelinskii, Andreas Kunze, Sevi Durdu, Lionel R. Newton, Ana Fernandez-Minan, Wolfgang Huber, Michael Knop, Darren Gilmour Maintainer: Joseph D. Barry git_url: https://git.bioconductor.org/packages/DonaPLLP2013 git_branch: RELEASE_3_20 git_last_commit: 4eacc0c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DonaPLLP2013_1.44.0.tar.gz vignettes: vignettes/DonaPLLP2013/inst/doc/PLLPanalysis.pdf, vignettes/DonaPLLP2013/inst/doc/PLLPstatistics.pdf vignetteTitles: PLLP image analysis, PLLP tissue-scale ratio statistics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DonaPLLP2013/inst/doc/PLLPanalysis.R, vignettes/DonaPLLP2013/inst/doc/PLLPstatistics.R dependencyCount: 46 Package: dorothea Version: 1.18.0 Depends: R (>= 4.0) Imports: dplyr, magrittr, bcellViper, decoupleR, Suggests: Biobase, BiocStyle, OmnipathR, viper, knitr, pheatmap, pkgdown, rmarkdown, Seurat, SingleCellExperiment, SummarizedExperiment, testthat (>= 2.1.0), tibble, tidyr, utils License: GPL-3 + file LICENSE MD5sum: 5787d956a54680963aff5ce33c12307c NeedsCompilation: no Title: Collection Of Human And Mouse TF Regulons Description: DoRothEA is a gene regulatory network containing signed transcription factor (TF) - target gene interactions. DoRothEA regulons, the collection of a TF and its transcriptional targets, were curated and collected from different types of evidence for both human and mouse. A confidence level was assigned to each TF-target interaction based on the number of supporting evidence. biocViews: ExperimentData, Homo_sapiens_Data, Mus_musculus_Data Author: Pau Badia-i-Mompel [cre] (), Daniel Dimitrov [aut] (), Christian H. Holland [aut] (), Luz Garcia-Alonso [aut], Alberto Valdeolivas [ctb], Minoo Ashtiani [ctb], Attila Gabor [ctb] Maintainer: Pau Badia-i-Mompel URL: https://saezlab.github.io/dorothea/, https://github.com/saezlab/dorothea VignetteBuilder: knitr BugReports: https://github.com/saezlab/dorothea/issues git_url: https://git.bioconductor.org/packages/dorothea git_branch: RELEASE_3_20 git_last_commit: ce6afd2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/dorothea_1.18.0.tar.gz vignettes: vignettes/dorothea/inst/doc/dorothea.html vignetteTitles: DoRothEA regulons. hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/dorothea/inst/doc/dorothea.R importsMe: cosmosR, easier suggestsMe: epiregulon.extra dependencyCount: 46 Package: dressCheck Version: 0.44.0 Depends: R (>= 2.10.1), methods, Biobase (>= 2.5.5) Suggests: survival, chron License: Artistic-2.0 MD5sum: 64019291fc041eeb4821f83b27fb1681 NeedsCompilation: no Title: data and software for checking Dressman JCO 25(5) 2007 Description: data and software for checking Dressman JCO 25(5) 2007 biocViews: ExperimentData, Genome Author: Vincent Carey Maintainer: Vincent Carey git_url: https://git.bioconductor.org/packages/dressCheck git_branch: RELEASE_3_20 git_last_commit: d4e3a84 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/dressCheck_0.44.0.tar.gz vignettes: vignettes/dressCheck/inst/doc/short.pdf vignetteTitles: short review of dressCheck contents hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/dressCheck/inst/doc/short.R dependencyCount: 6 Package: DropletTestFiles Version: 1.16.0 Imports: utils, ExperimentHub, AnnotationHub, S4Vectors Suggests: BiocStyle, knitr, rmarkdown, testthat, DropletUtils License: GPL-3 MD5sum: a63075748b3844f580a535c87b92440c NeedsCompilation: no Title: Test Files for Single-Cell Droplet Utilities Description: Assorted files generated from droplet-based single-cell protocols, to be used for testing functions in DropletUtils. Primarily intended for storing files that directly come out of processing pipelines like 10X Genomics' CellRanger software, prior to the formation of a SingleCellExperiment object. Unlike other packages, this is not designed to provide objects that are immediately ready for analysis. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData Author: Aaron Lun [ctb, cre] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DropletTestFiles git_branch: RELEASE_3_20 git_last_commit: e5c1f0c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DropletTestFiles_1.16.0.tar.gz vignettes: vignettes/DropletTestFiles/inst/doc/motivation.html vignetteTitles: Test files for droplet-based single-cell utilities hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DropletTestFiles/inst/doc/motivation.R dependsOnMe: OSCA.intro, OSCA.workflows suggestsMe: DropletUtils, TENxIO dependencyCount: 67 Package: DrugVsDiseasedata Version: 1.42.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: c14a86c5d506d84420eb41edd7858d8c NeedsCompilation: no Title: Drug versus Disease Data Description: Data package which provides default disease expression profiles, clusters and annotation information for use with the DrugVsDisease package. biocViews: Homo_sapiens_Data, MicroarrayData Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/DrugVsDiseasedata git_branch: RELEASE_3_20 git_last_commit: 1fec9f6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DrugVsDiseasedata_1.42.0.tar.gz vignettes: vignettes/DrugVsDiseasedata/inst/doc/DrugVsDiseasedata.pdf vignetteTitles: DrugVsDiseasedata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DrugVsDiseasedata/inst/doc/DrugVsDiseasedata.R dependsOnMe: DrugVsDisease dependencyCount: 0 Package: DuoClustering2018 Version: 1.24.0 Imports: ExperimentHub, utils, magrittr, dplyr, tidyr, mclust, ggplot2, purrr, reshape2, viridis, ggthemes, stats, methods Suggests: knitr, rmarkdown, BiocStyle, iSEE, scater, SingleCellExperiment, SummarizedExperiment, plyr License: GPL (>=2) MD5sum: 6aec8bc9d4f6620e71312a5691168a7d NeedsCompilation: no Title: Data, Clustering Results and Visualization Functions From Duò et al (2018) Description: Preprocessed experimental and simulated scRNA-seq data sets used for evaluation of clustering methods for scRNA-seq data in Duò et al (2018). Also contains results from applying several clustering methods to each of the data sets, and functions for plotting method performance. biocViews: SingleCellData, ExperimentData Author: Angelo Duò, Charlotte Soneson Maintainer: Angelo Duò VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DuoClustering2018 git_branch: RELEASE_3_20 git_last_commit: 0453a2a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DuoClustering2018_1.24.0.tar.gz vignettes: vignettes/DuoClustering2018/inst/doc/combine_data_clustering.html, vignettes/DuoClustering2018/inst/doc/plot_performance.html, vignettes/DuoClustering2018/inst/doc/run_clustering.html vignetteTitles: Visualize data sets and clustering results with iSEE, Plot performance summaries, Apply clustering method hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DuoClustering2018/inst/doc/combine_data_clustering.R, vignettes/DuoClustering2018/inst/doc/plot_performance.R, vignettes/DuoClustering2018/inst/doc/run_clustering.R suggestsMe: corral, scry dependencyCount: 91 Package: DvDdata Version: 1.42.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: f2eec0f8e77512e32112a66a592a9351 NeedsCompilation: no Title: Drug versus Disease Data Description: Data package which provides default drug and disease expression profiles for the DvD package. biocViews: GEO Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/DvDdata git_branch: RELEASE_3_20 git_last_commit: 6025e35 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/DvDdata_1.42.0.tar.gz vignettes: vignettes/DvDdata/inst/doc/DvDdata.pdf vignetteTitles: DvDdata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DvDdata/inst/doc/DvDdata.R dependencyCount: 0 Package: dyebiasexamples Version: 1.46.0 Depends: R (>= 1.4.1), marray, GEOquery Suggests: dyebias, convert, Biobase License: GPL-3 MD5sum: 3f52ef68b5944fbc0ceeec8632626d29 NeedsCompilation: no Title: Example data for the dyebias package, which implements the GASSCO method. Description: Data for the dyebias package, consisting of 4 self-self hybrizations of self-spotted yeast slides, as well as data from Array Express accession E-MTAB-32 biocViews: ExperimentData, SAGEData, CGHData, MicroarrayData, TwoChannelData, ArrayExpress Author: Philip Lijnzaad and Thanasis Margaritis Maintainer: Philip Lijnzaad URL: http://www.holstegelab.nl/publications/margaritis_lijnzaad git_url: https://git.bioconductor.org/packages/dyebiasexamples git_branch: RELEASE_3_20 git_last_commit: dd94026 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/dyebiasexamples_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: dyebias dependencyCount: 80 Package: easierData Version: 1.12.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, utils, SummarizedExperiment Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0) License: MIT + file LICENSE MD5sum: 845c7b7a2d851903bbdaff40d0d4503b NeedsCompilation: no Title: easier internal data and exemplary dataset from IMvigor210CoreBiologies package Description: Access to internal data required for the functional performance of easier package and exemplary bladder cancer dataset with both processed RNA-seq data and information on response to ICB therapy generated by Mariathasan et al. "TGF-B attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells", published in Nature, 2018 [doi:10.1038/nature25501](https://doi.org/10.1038/nature25501). The data is made available via [`IMvigor210CoreBiologies`](http://research-pub.gene.com/IMvigor210CoreBiologies/) package under the CC-BY license. biocViews: RNASeqData, ExperimentHub, ReproducibleResearch, ImmunoOncologyData, CancerData, ExperimentData Author: Oscar Lapuente-Santana [aut, cre] (), Federico Marini [aut] (), Arsenij Ustjanzew [aut] (), Francesca Finotello [aut] (), Federica Eduati [aut] () Maintainer: Oscar Lapuente-Santana VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/easierData git_branch: RELEASE_3_20 git_last_commit: f8c0518 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/easierData_1.12.0.tar.gz vignettes: vignettes/easierData/inst/doc/easierData.html vignetteTitles: easier data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/easierData/inst/doc/easierData.R importsMe: easier dependencyCount: 78 Package: EatonEtAlChIPseq Version: 0.44.0 Depends: GenomicRanges (>= 1.5.42), ShortRead, rtracklayer License: Artistic 2.0 MD5sum: 89c7bd11b6d15aac7f373151e8d517f1 NeedsCompilation: no Title: ChIP-seq data of ORC-binding sites in Yeast excerpted from Eaton et al. 2010 Description: ChIP-seq analysis subset from "Conserved nucleosome positioning defines replication origins" (PMID 20351051) biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, ChIPSeqData, GEO Author: Patrick Aboyoun Maintainer: Patrick Aboyoun git_url: https://git.bioconductor.org/packages/EatonEtAlChIPseq git_branch: RELEASE_3_20 git_last_commit: 04defe9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/EatonEtAlChIPseq_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 70 Package: ecoliLeucine Version: 1.46.0 Depends: R (>= 1.9.0), affy (>= 1.23.4), ecolicdf License: GPL (>= 2) MD5sum: 7596646155beb8c35bf2670f2c22788d NeedsCompilation: no Title: Experimental data with Affymetrix E. coli chips Description: Experimental data with Affymetrix E. coli chips, as reported in She-pin Hung, Pierre Baldi, and G. Wesley Hatfield, J. Biol. Chem., Vol. 277, Issue 43, 40309-40323, October 25, 2002 biocViews: ExperimentData, MicroarrayData Author: Laurent Gautier Maintainer: Laurent Gautier git_url: https://git.bioconductor.org/packages/ecoliLeucine git_branch: RELEASE_3_20 git_last_commit: 3245d75 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ecoliLeucine_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ecolitk dependencyCount: 50 Package: EGSEAdata Version: 1.34.0 Depends: R (>= 3.4) Suggests: EGSEA License: file LICENSE MD5sum: 422fcaa7f47c394358600cfb268d265b NeedsCompilation: no Title: Gene set collections for the EGSEA package Description: This package includes gene set collections that are used for the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing. It includes Human and Mouse versions of the MSidDB (Subramanian, et al. (2005) PNAS, 102(43):15545-15550) and GeneSetDB (Araki, et al. (2012) FEBS Open Bio, 2:76-82) collections. biocViews: ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data Author: Monther Alhamdoosh, Yifang Hu and Gordon K. Smyth Maintainer: Monther Alhamdoosh git_url: https://git.bioconductor.org/packages/EGSEAdata git_branch: RELEASE_3_20 git_last_commit: 7a5a0cf git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/EGSEAdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: EGSEA dependencyCount: 0 Package: ELMER.data Version: 2.30.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: BiocStyle, knitr, dplyr, devtools, DT, rmarkdown License: GPL-3 MD5sum: 611a1275cc893a59759673a36dd5e272 NeedsCompilation: no Title: Data for the ELMER package Description: Supporting data for the ELMER package. It includes: - elmer.data.example.promoter: mae.promoter - elmer.data.example: data - EPIC.hg38.manifest - EPIC.hg19.manifest - hm450.hg38.manifest - hm450.hg19.manifest - hocomoco.table - human.TF - LUSC_meth_refined: Meth - LUSC_RNA_refined: GeneExp - Probes.motif.hg19.450K - Probes.motif.hg19.EPIC - Probes.motif.hg38.450K - Probes.motif.hg38.EPIC - TF.family - TF.subfamily - Human_genes__GRCh37_p13 - Human_genes__GRCh38_p12 - Human_genes__GRCh37_p13__tss - Human_genes__GRCh38_p12__tss biocViews: AssayDomainData, TechnologyData, OrganismData Author: Tiago Chedraoui Silva, Lijing Yao Simon Coetzee, Benjamin P. Berman Maintainer: Tiago Chedraoui Silva VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ELMER.data git_branch: RELEASE_3_20 git_last_commit: 70a01d1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ELMER.data_2.30.0.tar.gz vignettes: vignettes/ELMER.data/inst/doc/vignettes.html vignetteTitles: ELMER.data: Supporting data for the ELMER package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ELMER.data/inst/doc/vignettes.R dependsOnMe: ELMER importsMe: EpiMix dependencyCount: 23 Package: emtdata Version: 1.14.0 Depends: R (>= 4.1) Imports: edgeR, ExperimentHub, SummarizedExperiment Suggests: testthat (>= 3.0.0), stringr, plyr, prettydoc, BiocStyle, Homo.sapiens, RColorBrewer, rmarkdown, BiocFileCache, knitr License: GPL-3 MD5sum: 8db81c389458586cc9c291f05cfcd7d1 NeedsCompilation: no Title: An ExperimentHub Package for data sets with an Epithelial to Mesenchymal Transition (EMT) Description: This package provides pre-processed RNA-seq data where the epithelial to mesenchymal transition was induced on cell lines. These data come from three publications Cursons et al. (2015), Cursons etl al. (2018) and Foroutan et al. (2017). In each of these publications, EMT was induces across multiple cell lines following treatment by TGFb among other stimulants. This data will be useful in determining the regulatory programs modified in order to achieve an EMT. Data were processed by the Davis laboratory in the Bioinformatics division at WEHI. biocViews: ExperimentHub, Homo_sapiens_Data, RNASeqData, ExpressionData Author: Malvika D. Kharbanda [aut, cre] (), Chin Wee Tan [aut] (), Dharmesh D. Bhuva [aut] () Maintainer: Malvika D. Kharbanda URL: https://github.com/DavisLaboratory/emtdata VignetteBuilder: knitr BugReports: https://github.com/DavisLaboratory/emtdata/issues git_url: https://git.bioconductor.org/packages/emtdata git_branch: RELEASE_3_20 git_last_commit: 8a3ea82 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/emtdata_1.14.0.tar.gz vignettes: vignettes/emtdata/inst/doc/emtdataR.html vignetteTitles: emtdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/emtdata/inst/doc/emtdataR.R dependencyCount: 82 Package: eoPredData Version: 1.0.0 Depends: ExperimentHub Suggests: BiocStyle, knitr, rmarkdown, RefManageR, planet, mixOmics License: MIT + file LICENSE MD5sum: 64e017ce0ee75dced828370d110571d6 NeedsCompilation: no Title: ExperimentHub package containing model data for predicting preeclampsia status for based on plcaental DNA methylation profile Description: Provides access to eoPred pretrained model hosted on ExperimentHub. Model was trained on placental DNA methylation preeclampsia samples using mixOmics splsda. There are two resources: 1. the model object, and 2. a testing data set used to demonstrate the function. biocViews: ExperimentData, ExperimentHub, GEO, Tissue, MethylationArrayData, Homo_sapiens_Data Author: Iciar Boyano [aut], Victor Yuan [aut, cre] Maintainer: Victor Yuan URL: https://github.com/wvictor14/eoPredData VignetteBuilder: knitr BugReports: https://github.com/wvictor14/eoPredData/issues git_url: https://git.bioconductor.org/packages/eoPredData git_branch: RELEASE_3_20 git_last_commit: 00f9483 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/eoPredData_1.0.0.tar.gz vignettes: vignettes/eoPredData/inst/doc/eoPredData.html vignetteTitles: eoPredData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/eoPredData/inst/doc/eoPredData.R dependencyCount: 67 Package: EpiMix.data Version: 1.8.0 Depends: R (>= 4.2.0), ExperimentHub (>= 0.99.6) Suggests: rmarkdown, knitr License: GPL-3 MD5sum: 64dd6bc27966ef5920f06823dcc4af94 NeedsCompilation: no Title: Data for the EpiMix package Description: Supporting data for the EpiMix R package. It include: - HM450_lncRNA_probes.rda - HM450_miRNA_probes.rda - EPIC_lncRNA_probes.rda - EPIC_miRNA_probes.rda - EpigenomeMap.rda - LUAD.sample.annotation - TCGA_BatchData - MET.data - mRNA.data - microRNA.data - lncRNA.data - Sample_EpiMixResults_lncRNA - Sample_EpiMixResults_miRNA - Sample_EpiMixResults_Regular - Sample_EpiMixResults_Enhancer - lncRNA expression data of tumors from TCGA that are stored in the ExperimentHub. biocViews: ExperimentData, ExperimentHub, Genome, RNASeqData, ExpressionData Author: Yuanning Zheng [aut, cre] Maintainer: Yuanning Zheng VignetteBuilder: knitr BugReports: https://github.com/gevaertlab/EpiMix/issues git_url: https://git.bioconductor.org/packages/EpiMix.data git_branch: RELEASE_3_20 git_last_commit: 0a59562 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/EpiMix.data_1.8.0.tar.gz vignettes: vignettes/EpiMix.data/inst/doc/RetrieveData.html vignetteTitles: vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/EpiMix.data/inst/doc/RetrieveData.R dependsOnMe: EpiMix dependencyCount: 67 Package: epimutacionsData Version: 1.10.0 Depends: R (>= 4.2.0) Suggests: rmarkdown, BiocStyle, knitr, ExperimentHub, minfi License: MIT + file LICENSE MD5sum: 1bb081472a039407ea2bb74f109cf1ae NeedsCompilation: no Title: Data for epimutacions package Description: This package includes the data necessary to run functions and examples in epimutacions package. Collection of DNA methylation data. The package contains 2 datasets: (1) Control ( GEO: GSE104812), (GEO: GSE97362) case samples; and (2) reference panel (GEO: GSE127824). It also contains candidate regions to be epimutations in 450k methylation arrays. biocViews: ExperimentHub, Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Leire Abarrategui [aut, cre], Juan R. Gonzalez [aut], Carlos Ruiz-Arenas [aut], Carles Hernandez-Ferrer [aut] Maintainer: Leire Abarrategui URL: https://github.com/LeireAbarrategui/epimutacionsData VignetteBuilder: knitr BugReports: https://github.com/LeireAbarrategui/epimutacionsData/issues git_url: https://git.bioconductor.org/packages/epimutacionsData git_branch: RELEASE_3_20 git_last_commit: 4d9e9ff git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/epimutacionsData_1.10.0.tar.gz vignettes: vignettes/epimutacionsData/inst/doc/epimutacionsData.html vignetteTitles: data repository for epimutacions package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/epimutacionsData/inst/doc/epimutacionsData.R dependsOnMe: epimutacions dependencyCount: 0 Package: EpipwR.data Version: 1.0.0 Imports: ExperimentHub Suggests: knitr, rmarkdown, sessioninfo License: Artistic-2.0 MD5sum: 94250568a74549671da2983e664ed02c NeedsCompilation: no Title: EpipwR.data: Reference data for EpipwR Description: This package provides reference data for EpipwR. EpipwR is a fast and efficient power analysis for continuous and binary phenotypes of epigenomic-wide association studies. This package is only meant to be used in conjunction with EpipwR. biocViews: ExperimentHub, MethylationArrayData, MicroarrayData, TissueMicroarrayData, Tissue, ExperimentData Author: Jackson Barth [aut, cre] (), Austin Reynolds [aut] Maintainer: Jackson Barth URL: https://github.com/jbarth216/EpipwR.data VignetteBuilder: knitr BugReports: https://github.com/jbarth216/EpipwR.data git_url: https://git.bioconductor.org/packages/EpipwR.data git_branch: RELEASE_3_20 git_last_commit: 5270e97 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/EpipwR.data_1.0.0.tar.gz vignettes: vignettes/EpipwR.data/inst/doc/EpipwR.data.html vignetteTitles: EpipwR.data: Reference data for EpipwR hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/EpipwR.data/inst/doc/EpipwR.data.R importsMe: EpipwR dependencyCount: 67 Package: estrogen Version: 1.52.0 Suggests: affy, hgu95av2.db, hgu95av2cdf, vsn, knitr, genefilter License: LGPL MD5sum: a15821f8002bf76ac7261b6982c970a5 NeedsCompilation: no Title: Microarray dataset that can be used as example for 2x2 factorial designs Description: Data from 8 Affymetrix genechips, looking at a 2x2 factorial design (with 2 repeats per level). biocViews: ExperimentData, MicroarrayData Author: Wolfgang Huber, Robert Gentleman Maintainer: Wolfgang Huber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/estrogen git_branch: RELEASE_3_20 git_last_commit: 1a0f03f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/estrogen_1.52.0.tar.gz vignettes: vignettes/estrogen/inst/doc/estrogen.pdf vignetteTitles: estrogen hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/estrogen/inst/doc/estrogen.R suggestsMe: categoryCompare dependencyCount: 0 Package: etec16s Version: 1.33.0 Depends: R (>= 3.3), Biobase, metagenomeSeq(>= 1.12.0) License: Artistic-2.0 MD5sum: fcaa0b82c184de2e434fce35b0422c7e NeedsCompilation: no Title: Individual-specific changes in the human gut microbiota after challenge with enterotoxigenic Escherichia coli and subsequent ciprofloxacin treatment Description: 16S rRNA gene sequencing data to study changes in the faecal microbiota of 12 volunteers during a human challenge study with ETEC (H10407) and subsequent treatment with ciprofloxacin. biocViews: ExperimentData, SequencingData, MicrobiomeData Author: Joseph N. Paulson Maintainer: Joseph N. Paulson git_url: https://git.bioconductor.org/packages/etec16s git_branch: devel git_last_commit: 8e40bc6 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/etec16s_1.33.0.tar.gz vignettes: vignettes/etec16s/inst/doc/etec16s.pdf vignetteTitles: etec16s hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/etec16s/inst/doc/etec16s.R dependencyCount: 7 Package: ewceData Version: 1.14.0 Depends: R (>= 4.1), ExperimentHub Suggests: knitr, BiocStyle, ggplot2, cowplot, rmarkdown, markdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 24cd796cc090d45d4d6cda652a12d394 NeedsCompilation: no Title: The ewceData package provides reference data required for ewce Description: This package provides reference data required for ewce. Expression Weighted Celltype Enrichment (EWCE) is used to determine which cell types are enriched within gene lists. The package provides tools for testing enrichments within simple gene lists (such as human disease associated genes) and those resulting from differential expression studies. The package does not depend upon any particular Single Cell Transcriptome dataset and user defined datasets can be loaded in and used in the analyses. biocViews: ExperimentData, ExperimentHub, ExpressionData, Genome, Proteome, MicroarrayData, SequencingData, SingleCellData, RNASeqData Author: Alan Murphy [cre] (), Nathan Skene [aut] () Maintainer: Alan Murphy URL: https://github.com/neurogenomics/ewceData VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ewceData git_branch: RELEASE_3_20 git_last_commit: 05ad00f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ewceData_1.14.0.tar.gz vignettes: vignettes/ewceData/inst/doc/ewceData.html vignetteTitles: Data package for Expression Weighted Celltype Enrichment EWCE hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ewceData/inst/doc/ewceData.R importsMe: EWCE dependencyCount: 67 Package: faahKO Version: 1.46.0 Depends: R (>= 2.10), xcms (>= 3.4.0) License: LGPL MD5sum: 6182750f76d8f196207b7ec0efaf06fc NeedsCompilation: no Title: Saghatelian et al. (2004) FAAH knockout LC/MS data Description: Positive ionization mode data in NetCDF file format. Centroided subset from 200-600 m/z and 2500-4500 seconds. Data originally reported in "Assignment of Endogenous Substrates to Enzymes by Global Metabolite Profiling" Biochemistry; 2004; 43(45). Also includes detected peaks in an xcmsSet. biocViews: ExperimentData, MassSpectrometryData Author: Colin A. Smith Maintainer: Steffen Neumann URL: http://dx.doi.org/10.1021/bi0480335 git_url: https://git.bioconductor.org/packages/faahKO git_branch: RELEASE_3_20 git_last_commit: c51ac7a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/faahKO_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: cosmiq suggestsMe: CAMERA, IPO, MAIT, peakPantheR, xcms dependencyCount: 147 Package: fabiaData Version: 1.44.0 Depends: R (>= 2.10.0), Biobase Imports: utils Suggests: fabia License: LGPL (>= 2.1) MD5sum: eda95b365fa1731facc3828ef343e176 NeedsCompilation: no Title: Data sets for FABIA (Factor Analysis for Bicluster Acquisition) Description: Supplying gene expression data sets for the demos of the biclustering method "Factor Analysis for Bicluster Acquisition" (FABIA). The following three data sets are provided: A) breast cancer (van't Veer, Nature, 2002), B) multiple tissues (Su, PNAS, 2002), and C) diffuse large-B-cell lymphoma (Rosenwald, N Engl J Med, 2002). biocViews: CancerData, BreastCancerData, MicroarrayData Author: Sepp Hochreiter Maintainer: Sepp Hochreiter URL: http://www.bioinf.jku.at/software/fabia/fabia.html git_url: https://git.bioconductor.org/packages/fabiaData git_branch: RELEASE_3_20 git_last_commit: 6e16020 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/fabiaData_1.44.0.tar.gz vignettes: vignettes/fabiaData/inst/doc/fabiaData.pdf vignetteTitles: fabiaData: Manual for the R Package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/fabiaData/inst/doc/fabiaData.R dependencyCount: 6 Package: FANTOM3and4CAGE Version: 1.42.0 Depends: R (>= 2.15.0) License: GPL-3 MD5sum: a4c297c5de2e697b0aaddf7a5e1b1c91 NeedsCompilation: no Title: CAGE data from FANTOM3 and FANTOM4 projects Description: CAGE (Cap Analysis Gene Expression) data from FANTOM3 and FANTOM4 projects produced by RIKEN Omics Science Center. biocViews: ExperimentData, Tissue Author: Vanja Haberle, Department of Biology, University of Bergen, Norway Maintainer: Vanja Haberle git_url: https://git.bioconductor.org/packages/FANTOM3and4CAGE git_branch: RELEASE_3_20 git_last_commit: 28df95a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FANTOM3and4CAGE_1.42.0.tar.gz vignettes: vignettes/FANTOM3and4CAGE/inst/doc/FANTOM3and4CAGE.pdf vignetteTitles: FANTOM3and4CAGE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FANTOM3and4CAGE/inst/doc/FANTOM3and4CAGE.R suggestsMe: CAGEr dependencyCount: 0 Package: ffpeExampleData Version: 1.44.0 Depends: R (>= 2.10.0), lumi Suggests: genefilter, affy License: GPL (>2) MD5sum: 6f800c039d810e224c1ed7726fe18396 NeedsCompilation: no Title: Illumina DASL example microarray data Description: A subset of GSE17565 (April et al. 2009) containing 32 FFPE samples of Burkitts Lymphoma and Breast Adenocarcinoma, with a dilution series in technical duplicate. biocViews: Tissue, Genome, MicroarrayData, TissueMicroarrayData, GEO Author: Levi Waldron Maintainer: Levi Waldron git_url: https://git.bioconductor.org/packages/ffpeExampleData git_branch: RELEASE_3_20 git_last_commit: e0daa57 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ffpeExampleData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ffpe dependencyCount: 166 Package: fibroEset Version: 1.48.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: 86edf1f76f8d9627b678835b13535e9c NeedsCompilation: no Title: exprSet for Karaman et al. (2003) fibroblasts data Description: exprSet for Karaman et al. (2003) human, bonobo and gorilla fibroblasts data biocViews: ExperimentData, Genome, Homo_sapiens_Data, MicroarrayData, ChipOnChipData Author: Sylvia Merk Maintainer: Sylvia Merk git_url: https://git.bioconductor.org/packages/fibroEset git_branch: RELEASE_3_20 git_last_commit: d2c4fb1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/fibroEset_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biocGraph, clusterStab, geneplotter dependencyCount: 6 Package: FieldEffectCrc Version: 1.16.0 Depends: utils Imports: BiocStyle, RUnit, SummarizedExperiment, ExperimentHub (>= 0.99.6), AnnotationHub, DESeq2 Suggests: knitr, rmarkdown, BiocGenerics, sva, BiocManager License: Artistic-2.0 MD5sum: 184e4ee06f9eba119f7aa0ec4dd9ec2e NeedsCompilation: no Title: Tumor, tumor-adjacent normal, and healthy colorectal transcriptomes as SummarizedExperiment objects Description: Processed RNA-seq data for 1,139 human primary colorectal tissue samples across three phenotypes, including tumor, normal adjacent-to-tumor, and healthy, available as Synapse ID syn22237139 on synapse.org. Data have been parsed into SummarizedExperiment objects available via ExperimentHub to facilitate reproducibility and extension of results from Dampier et al. (PMCID: PMC7386360, PMID: 32764205). biocViews: ExperimentData, ReproducibleResearch, Tissue, Homo_sapiens_Data, ColonCancerData, RNASeqData, ExpressionData, ExperimentHub, SequencingData Author: Christopher Dampier [aut, cre] (), Bioconductor Package Maintainer [ctb] Maintainer: Christopher Dampier URL: http://bioconductor.org/packages/release/bioc/html/FieldEffectCrc.html VignetteBuilder: knitr BugReports: https://github.com/Bioconductor/FieldEffectCrc/ git_url: https://git.bioconductor.org/packages/FieldEffectCrc git_branch: RELEASE_3_20 git_last_commit: 570e132 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FieldEffectCrc_1.16.0.tar.gz vignettes: vignettes/FieldEffectCrc/inst/doc/FieldEffectCrc.html vignetteTitles: SummarizedExperiments of colorectal transcriptomes hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FieldEffectCrc/inst/doc/FieldEffectCrc.R dependencyCount: 122 Package: FIs Version: 1.34.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: 76cdfe37dba524d956bfd1a0f27b1843 NeedsCompilation: no Title: Human Functional Interactions (FIs) for splineTimeR package Description: Data set containing two complete lists of identified functional interaction partners in Human. Data are derived from Reactome and BioGRID databases. biocViews: PathwayInteractionDatabase, Homo_sapiens_Data Author: Agata Michna Maintainer: Herbert Braselmann , Martin Selmansberger git_url: https://git.bioconductor.org/packages/FIs git_branch: RELEASE_3_20 git_last_commit: 7b4fef9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FIs_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: splineTimeR dependencyCount: 0 Package: fission Version: 1.26.0 Depends: R (>= 2.10), SummarizedExperiment Suggests: knitr, markdown License: LGPL MD5sum: 00d2bde8a4da959730467dc66fcaeef0 NeedsCompilation: no Title: RangedSummarizedExperiment for time course RNA-Seq of fission yeast in response to stress, by Leong et al., Nat Commun 2014. Description: This package provides a RangedSummarizedExperiment object of read counts in genes for a time course RNA-Seq experiment of fission yeast (Schizosaccharomyces pombe) in response to oxidative stress (1M sorbitol treatment) at 0, 15, 30, 60, 120 and 180 mins. The samples are further divided between a wild-type group and a group with deletion of atf21. The read count matrix was prepared and provided by the author of the study: Leong HS, Dawson K, Wirth C, Li Y, Connolly Y, Smith DL, Wilkinson CR, Miller CJ. "A global non-coding RNA system modulates fission yeast protein levels in response to stress". Nat Commun 2014 May 23;5:3947. PMID: 24853205. GEO: GSE56761. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData, GEO Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/fission git_branch: RELEASE_3_20 git_last_commit: 2711625 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/fission_1.26.0.tar.gz vignettes: vignettes/fission/inst/doc/fission.html vignetteTitles: Fission yeast time course hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/fission/inst/doc/fission.R dependsOnMe: ROCpAI, rnaseqGene dependencyCount: 36 Package: Fletcher2013a Version: 1.42.0 Depends: R (>= 2.15), limma Imports: Biobase ,VennDiagram, gplots,grid License: GPL (>= 2) MD5sum: 5641358237faed180be98f2794357119 NeedsCompilation: no Title: Gene expression data from breast cancer cells under FGFR2 signalling perturbation Description: The package Fletcher2013a contains time-course gene expression data from MCF-7 cells treated under different experimental systems in order to perturb FGFR2 signalling. The data comes from Fletcher et al. (Nature Comms 4:2464, 2013) where further details about the background and the experimental design of the study can be found. biocViews: ExperimentData, ExpressionData, CancerData, BreastCancerData, MicroarrayData Author: Mauro Castro, Michael Fletcher, Florian Markowetz and Kerstin Meyer. Maintainer: Mauro Castro URL: http://dx.doi.org/10.1038/ncomms3464 git_url: https://git.bioconductor.org/packages/Fletcher2013a git_branch: RELEASE_3_20 git_last_commit: 5f007df git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Fletcher2013a_1.42.0.tar.gz vignettes: vignettes/Fletcher2013a/inst/doc/Fletcher2013a.pdf vignetteTitles: Main vignette:Fletcher2013a hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Fletcher2013a/inst/doc/Fletcher2013a.R dependsOnMe: Fletcher2013b suggestsMe: NetActivity dependencyCount: 20 Package: Fletcher2013b Version: 1.42.0 Depends: R (>= 2.15), Fletcher2013a, RTN (>= 1.1.2), RedeR (>= 1.8.1), igraph Imports: RColorBrewer License: GPL (>= 2) MD5sum: 3f9698b0e3c2785036a65560ac1e4141 NeedsCompilation: no Title: Master regulators of FGFR2 signalling and breast cancer risk Description: This package reproduces the systems biology analysis for the data in package Fletcher2013a using RTN. biocViews: ExperimentData, ChIPSeqData, CancerData, BreastCancerData, SNPData Author: Mauro Castro, Michael Fletcher, Florian Markowetz and Kerstin Meyer. Maintainer: Mauro Castro URL: http://dx.doi.org/10.1038/ncomms3464 git_url: https://git.bioconductor.org/packages/Fletcher2013b git_branch: RELEASE_3_20 git_last_commit: 3473481 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Fletcher2013b_1.42.0.tar.gz vignettes: vignettes/Fletcher2013b/inst/doc/Fletcher2013b.pdf vignetteTitles: Main vignette:Fletcher2013b hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Fletcher2013b/inst/doc/Fletcher2013b.R suggestsMe: RTNsurvival, geneplast dependencyCount: 148 Package: flowPloidyData Version: 1.32.0 Suggests: knitr, rmarkdown, flowCore License: GPL-3 MD5sum: ed761a0cd77a9b186cfd6f09860d39a3 NeedsCompilation: no Title: Example Flow Cytometry Data Description: A collection of raw flow cytometry data for use in vignettes for the flowPloidy package. biocViews: FlowCytometryData Author: Tyler Smith Maintainer: Tyler Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/flowPloidyData git_branch: RELEASE_3_20 git_last_commit: c86ff0b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/flowPloidyData_1.32.0.tar.gz vignettes: vignettes/flowPloidyData/inst/doc/flowPloidyData.html vignetteTitles: flowPloidy Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: flowPloidy dependencyCount: 0 Package: FlowSorted.Blood.450k Version: 1.44.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 6df54186a88be5c6335467a86ec2e219 NeedsCompilation: no Title: Illumina HumanMethylation data on sorted blood cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays, and an object depicting which CpGs on the array are associated with cell type. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Andrew E Jaffe Maintainer: Andrew E Jaffe git_url: https://git.bioconductor.org/packages/FlowSorted.Blood.450k git_branch: RELEASE_3_20 git_last_commit: 2971424 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.Blood.450k_1.44.0.tar.gz vignettes: vignettes/FlowSorted.Blood.450k/inst/doc/FlowSorted.Blood.450k.pdf vignetteTitles: FlowSorted Blood 450k Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.Blood.450k/inst/doc/FlowSorted.Blood.450k.R dependsOnMe: methylCC, methylationArrayAnalysis suggestsMe: minfi, wateRmelon, FlowSorted.Blood.EPIC dependencyCount: 145 Package: FlowSorted.Blood.EPIC Version: 2.10.0 Depends: R (>= 3.5), minfi(>= 1.21.2), ExperimentHub Imports: genefilter, nlme, quadprog, graphics, stats, utils, AnnotationHub, SummarizedExperiment, S4Vectors Suggests: knitr,rmarkdown, FlowSorted.CordBlood.450k, FlowSorted.Blood.450k(>= 1.0.1), EpiDISH,FlowSorted.CordBloodNorway.450k, testthat, IlluminaHumanMethylation450kmanifest(>= 0.2.0), IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Enhances: FlowSorted.CordBloodCombined.450k(>= 1.11.5) License: GPL-3 MD5sum: a51230659106aa6ba33a7bdd616d4ae6 NeedsCompilation: no Title: Illumina EPIC data on immunomagnetic sorted peripheral adult blood cells Description: Raw data objects to be used for blood cell proportion estimation in minfi and similar packages. The FlowSorted.Blood.EPIC object is based in samples assayed by Brock Christensen and colleagues; for details see Salas et al. 2018. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110554. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, TissueMicroarrayData, MethylationArrayData Author: Lucas A. Salas [cre, aut], Devin C. Koestler [aut], Rondi A. Butler [ctb], Helen M. Hansen [ctb], John K. Wiencke [ctb], Karl T. Kelsey [ctb], Brock C. Christensen [ctb], Kasper Daniel Hansen [ctb] (author and maintainer of the original minfi estimateCellCounts and internal functions), Jean-Philippe Fortin [ctb] (contributor in the original minfi estimateCellCounts and internal functions), Shan V. Andrews [ctb] (contributor in the original minfi estimateCellCounts and internal functions), E. Andres Houseman [ctb] (author of the original quadratic programming function used for cell projection), Andrew E Jaffe [ctb] (author of the original estimateCellCounts and internal functions within minfi) Maintainer: Lucas A. Salas URL: https://github.com/immunomethylomics/FlowSorted.Blood.EPIC VignetteBuilder: knitr BugReports: https://github.com/immunomethylomics/FlowSorted.Blood.EPIC/issues. git_url: https://git.bioconductor.org/packages/FlowSorted.Blood.EPIC git_branch: RELEASE_3_20 git_last_commit: 62b5df5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.Blood.EPIC_2.10.0.tar.gz vignettes: vignettes/FlowSorted.Blood.EPIC/inst/doc/FlowSorted.Blood.EPIC.html vignetteTitles: FlowSorted.Blood.EPIC hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.Blood.EPIC/inst/doc/FlowSorted.Blood.EPIC.R importsMe: HiBED suggestsMe: DMRcate, wateRmelon, FlowSorted.CordBloodCombined.450k dependencyCount: 152 Package: FlowSorted.CordBlood.450k Version: 1.34.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 3afca2babc77db996268a0b383c2a5f0 NeedsCompilation: no Title: Illumina 450k data on sorted cord blood cells Description: Raw data objects to be used for cord blood cell proportion estimation in minfi. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Shan V. Andrews [cre, aut], Kelly M. Bakulski [aut] Maintainer: Shan V. Andrews git_url: https://git.bioconductor.org/packages/FlowSorted.CordBlood.450k git_branch: RELEASE_3_20 git_last_commit: 15ad691 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.CordBlood.450k_1.34.0.tar.gz vignettes: vignettes/FlowSorted.CordBlood.450k/inst/doc/FlowSorted.CordBlood.450k.pdf vignetteTitles: Minfi Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: FlowSorted.Blood.EPIC dependencyCount: 145 Package: FlowSorted.CordBloodCombined.450k Version: 1.22.0 Depends: R (>= 3.6), minfi (>= 1.21.2), ExperimentHub(>= 1.9.1) Imports: SummarizedExperiment, IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b4.hg19, utils, AnnotationHub Suggests: FlowSorted.Blood.EPIC, knitr, rmarkdown, testthat, IlluminaHumanMethylation450kmanifest(>= 0.2.0), IlluminaHumanMethylationEPICanno.ilm10b2.hg19 License: GPL-3 MD5sum: edafe41e6489b95f1b3279e8bfd324a7 NeedsCompilation: no Title: Illumina 450k/EPIC data on FACS and MACS umbilical blood cells Description: Raw data objects to be used for umbilical cord blood cell proportion estimation in minfi and similar packages. The FlowSorted.CordBloodCombined.450k object is based in samples assayed by Bakulski et al, Gervin et al., de Goede et al., and Lin et al. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, TissueMicroarrayData, MethylationArrayData, ExperimentHub Author: Lucas A. Salas [cre, aut], Kristina Gervin [aut], Meaghan C. Jones [aut], Kelly M. Bakulski [ctb], Devin C. Koestler [ctb], John K. Wiencke [ctb], Karl T. Kelsey [ctb], Robert Lyle [ctb], Brock C. Christensen [ctb], Janine Felix [ctb] Maintainer: Lucas A. Salas URL: https://github.com/immunomethylomics/FlowSorted.CordBloodCombined.450k VignetteBuilder: knitr BugReports: https://github.com/immunomethylomics/FlowSorted.CordBloodCombined.450k/issues. git_url: https://git.bioconductor.org/packages/FlowSorted.CordBloodCombined.450k git_branch: RELEASE_3_20 git_last_commit: 49b0426 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.CordBloodCombined.450k_1.22.0.tar.gz vignettes: vignettes/FlowSorted.CordBloodCombined.450k/inst/doc/FlowSorted.CordBloodCombined.450k.html vignetteTitles: FlowSorted.CordBloodCombined.450k hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.CordBloodCombined.450k/inst/doc/FlowSorted.CordBloodCombined.450k.R dependencyCount: 154 Package: FlowSorted.CordBloodNorway.450k Version: 1.32.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 21a44f2a9ffb55f053f32c398f4689b7 NeedsCompilation: no Title: Illumina HumanMethylation data on sorted cord blood cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays, for cell type composition estimation. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: kristina gervin [cre, aut], Kasper Daniel Hansen [aut] Maintainer: kristina gervin URL: https://bitbucket.com/kasperdanielhansen/Illumina_CordBlood git_url: https://git.bioconductor.org/packages/FlowSorted.CordBloodNorway.450k git_branch: RELEASE_3_20 git_last_commit: 81644a4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.CordBloodNorway.450k_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 145 Package: FlowSorted.DLPFC.450k Version: 1.42.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: f77547b8703af30a4f248b5f8a75cd92 NeedsCompilation: no Title: Illumina HumanMethylation data on sorted frontal cortex cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Andrew E Jaffe, Zachary A. Kaminsky Maintainer: Andrew E Jaffe git_url: https://git.bioconductor.org/packages/FlowSorted.DLPFC.450k git_branch: RELEASE_3_20 git_last_commit: 1390583 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/FlowSorted.DLPFC.450k_1.42.0.tar.gz vignettes: vignettes/FlowSorted.DLPFC.450k/inst/doc/FlowSorted.DLPFC.450k.pdf vignetteTitles: FlowSorted DLPFC 450k Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.DLPFC.450k/inst/doc/FlowSorted.DLPFC.450k.R importsMe: HiBED dependencyCount: 145 Package: flowWorkspaceData Version: 3.18.0 License: GPL-2 MD5sum: 7133f0addd24a8713d2b57ffe7646bd8 NeedsCompilation: no Title: A data package containing two flowJo, one diva xml workspace and the associated fcs files as well as three GatingSets for testing the flowWorkspace, openCyto and CytoML packages. Description: The necessary external data to run the flowWorkspace and openCyto vignette is found in this package. biocViews: ExperimentData, FlowCytometryData Author: Greg Finak Maintainer: Mike Jiang git_url: https://git.bioconductor.org/packages/flowWorkspaceData git_branch: RELEASE_3_20 git_last_commit: f551320 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/flowWorkspaceData_3.18.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: COMPASS, CytoML, flowClust, flowCore, flowWorkspace, ggcyto, openCyto dependencyCount: 0 Package: fourDNData Version: 1.6.0 Depends: R (>= 4.2) Imports: BiocFileCache, HiCExperiment, GenomicRanges, IRanges, S4Vectors, utils, tools Suggests: rtracklayer, dplyr, testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: afe1fdf692cb248b2bd937b2bed37b03 NeedsCompilation: no Title: 4DN data package Description: fourDNData is a data package giving programmatic access to Hi-C contact matrices uniformly processed by the [4DN consortium](https://www.4dnucleome.org/). The matrices are available in the multi-resolution `.mcool` format. biocViews: ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/fourDNData VignetteBuilder: knitr BugReports: https://github.com/js2264/fourDNData/issues git_url: https://git.bioconductor.org/packages/fourDNData git_branch: RELEASE_3_20 git_last_commit: a6fe3eb git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/fourDNData_1.6.0.tar.gz vignettes: vignettes/fourDNData/inst/doc/fourDNData.html vignetteTitles: fourDNData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/fourDNData/inst/doc/fourDNData.R importsMe: OHCA dependencyCount: 90 Package: frmaExampleData Version: 1.42.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 4dd690a166195829ba5a45856448bf49 NeedsCompilation: no Title: Frma Example Data Description: Data files used by the examples in frma and frmaTools packages biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/frmaExampleData git_branch: RELEASE_3_20 git_last_commit: 501e8f9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/frmaExampleData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: frmaTools, frma dependencyCount: 0 Package: furrowSeg Version: 1.34.0 Depends: R (>= 3.3), EBImage Imports: abind, dplyr, locfit, tiff Suggests: BiocStyle, ggplot2, knitr License: Artistic-2.0 MD5sum: b6b176917d5ecdcdc8a6b9f91e06fe95 NeedsCompilation: no Title: Furrow Segmentation Description: Image feature data and analysis codes for the Guglielmi, Barry et al. paper describing the application of an optogenetics tools to disrupt Drosophila embryo furrowing. biocViews: ExperimentData, Drosophila_melanogaster_Data, Tissue, ReproducibleResearch Author: Joseph Barry Maintainer: Joseph Barry VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/furrowSeg git_branch: RELEASE_3_20 git_last_commit: d0f70bd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/furrowSeg_1.34.0.tar.gz vignettes: vignettes/furrowSeg/inst/doc/exampleFurrowSegmentation.pdf, vignettes/furrowSeg/inst/doc/genPaperFigures.pdf vignetteTitles: Supplementary Methods - Example furrow segmentation, Supplementary Methods - Automatic generation of paper figures hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/furrowSeg/inst/doc/exampleFurrowSegmentation.R, vignettes/furrowSeg/inst/doc/genPaperFigures.R dependencyCount: 56 Package: gageData Version: 2.44.0 Depends: R (>= 2.10) Suggests: gage, pathview, genefilter License: GPL (>=2.0) MD5sum: 340f02c98e843eddf50694a88ee3c18f NeedsCompilation: no Title: Auxillary data for gage package Description: This is a supportive data package for the software package, gage. However, the data supplied here are also useful for gene set or pathway analysis or microarray data analysis in general. In this package, we provide two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and BMP6 (originally published as an demo dataset for GAGE, also registered as GSE13604 in GEO). This package also includes commonly used gene set data based on KEGG pathways and GO terms for major research species, including human, mouse, rat and budding yeast. Mapping data between common gene IDs for budding yeast are also included. biocViews: ExperimentData, StemCell, CancerData, BreastCancerData, MicroarrayData, GEO Author: Weijun Luo Maintainer: Weijun Luo git_url: https://git.bioconductor.org/packages/gageData git_branch: RELEASE_3_20 git_last_commit: fded3b2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gageData_2.44.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: gage dependencyCount: 0 Package: gaschYHS Version: 1.44.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: c6033103748cbec679796f36cd9d2bba NeedsCompilation: no Title: ExpressionSet for response of yeast to heat shock and other environmental stresses Description: Data from PMID 11102521 biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data Author: Audrey Gasch and colleagues Maintainer: Vince Carey URL: http://genome-www.stanford.edu/yeast_stress/data/rawdata/complete_dataset.txt git_url: https://git.bioconductor.org/packages/gaschYHS git_branch: RELEASE_3_20 git_last_commit: 2a5aff1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gaschYHS_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 6 Package: gcspikelite Version: 1.44.0 Depends: R (>= 2.5.0) License: LGPL MD5sum: 3b8732b7eb8743bd3f92cb0eaa1308b3 NeedsCompilation: no Title: Spike-in data for GC/MS data and methods within flagme Description: Spike-in data for GC/MS data and methods within flagme biocViews: MassSpectrometryData Author: Mark Robinson Maintainer: Mark Robinson git_url: https://git.bioconductor.org/packages/gcspikelite git_branch: RELEASE_3_20 git_last_commit: d4c95a8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gcspikelite_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: flagme suggestsMe: erah dependencyCount: 0 Package: gDNAinRNAseqData Version: 1.6.0 Depends: R (>= 4.3) Imports: RCurl, XML, ExperimentHub, BiocGenerics, Rsamtools Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 1051ca9adac9bf173e6ae6db69c7d5f8 NeedsCompilation: no Title: RNA-seq data with different levels of gDNA contamination Description: Provides access to BAM files generated from RNA-seq data produced with different levels of gDNA contamination. It currently allows one to download a subset of the data published by Li et al., BMC Genomics, 23:554, 2022. This subset of data is formed by BAM files with about 100,000 alignments with three different levels of gDNA contamination. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, Homo_sapiens_Data Author: Robert Castelo [aut, cre] () Maintainer: Robert Castelo URL: https://github.com/functionalgenomics/gDNAinRNAseqData VignetteBuilder: knitr BugReports: https://github.com/functionalgenomics/gDNAinRNAseqData git_url: https://git.bioconductor.org/packages/gDNAinRNAseqData git_branch: RELEASE_3_20 git_last_commit: eefccf2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gDNAinRNAseqData_1.6.0.tar.gz vignettes: vignettes/gDNAinRNAseqData/inst/doc/gDNAinRNAseqData.html vignetteTitles: RNA-seq data with different levels of gDNA contamination hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/gDNAinRNAseqData/inst/doc/gDNAinRNAseqData.R suggestsMe: gDNAx dependencyCount: 82 Package: gDRtestData Version: 1.4.0 Depends: R (>= 4.2) Imports: checkmate, data.table Suggests: BiocStyle, gDRstyle (>= 1.1.5), knitr, qs, reshape2, rmarkdown, SummarizedExperiment, testthat, yaml License: Artistic-2.0 MD5sum: edefc42aeca53a188b512659ae557f6d NeedsCompilation: no Title: gDRtestData - R data package with testing dose response data Description: R package with internal dose-response test data. Package provides functions to generate input testing data that can be used as the input for gDR pipeline. It also contains qs files with MAE data processed by gDR. biocViews: ExperimentData, TechnologyData Author: Aleksander Chlebowski [aut], Bartosz Czech [aut] (), Arkadiusz Gladki [cre, aut] (), Marc Hafner [aut] (), Marcin Kamianowski [aut], Sergiu Mocanu [aut], Natalia Potocka [aut], Dariusz Scigocki [aut], Janina Smola [aut], Allison Voung [aut] Maintainer: Arkadiusz Gladki URL: https://github.com/gdrplatform/gDRtestData, https://gdrplatform.github.io/gDRtestData/ VignetteBuilder: knitr BugReports: https://github.com/gdrplatform/gDRtestData/issues git_url: https://git.bioconductor.org/packages/gDRtestData git_branch: RELEASE_3_20 git_last_commit: c3a66ed git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gDRtestData_1.4.0.tar.gz vignettes: vignettes/gDRtestData/inst/doc/gDRtestData.html vignetteTitles: gDRtestData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/gDRtestData/inst/doc/gDRtestData.R suggestsMe: gDR, gDRcore, gDRimport, gDRutils dependencyCount: 5 Package: geneLenDataBase Version: 1.42.0 Depends: R (>= 2.11.0) Imports: utils, rtracklayer, GenomicFeatures, txdbmaker License: LGPL (>= 2) MD5sum: 383f08d23aa5b28f812f4d353bc5dd6f NeedsCompilation: no Title: Lengths of mRNA transcripts for a number of genomes Description: Length of mRNA transcripts for a number of genomes and gene ID formats, largely based on UCSC table browser. Data objects are provided as individual pieces of information to be retrieved and loaded. A variety of different gene identifiers and genomes is supported to ensure wide applicability. biocViews: ExperimentData, Genome Author: Matthew Young [aut], Nadia Davidson [aut], Federico Marini [ctb, cre] () Maintainer: Federico Marini URL: https://github.com/federicomarini/geneLenDataBase BugReports: https://github.com/federicomarini/geneLenDataBase/issues git_url: https://git.bioconductor.org/packages/geneLenDataBase git_branch: RELEASE_3_20 git_last_commit: 8eb2611 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/geneLenDataBase_1.42.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: goseq importsMe: SMITE dependencyCount: 102 Package: genomationData Version: 1.38.0 Suggests: knitr License: GPL-3 MD5sum: c5c850508ccd391d1a16689bcbab0879 NeedsCompilation: no Title: Experimental data for showing functionalities of the genomation package Description: The package contains Chip Seq, Methylation and Cage data, downloaded from Encode biocViews: ExperimentData, Genome, StemCell, SequencingData, ChIPSeqData, ChipOnChipData, ENCODE Author: Altuna Akalin, Vedran Franke Maintainer: Vedran Franke VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/genomationData git_branch: RELEASE_3_20 git_last_commit: 8f9cc3f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/genomationData_1.38.0.tar.gz vignettes: vignettes/genomationData/inst/doc/genomationData-knitr.pdf vignetteTitles: genomationData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/genomationData/inst/doc/genomationData-knitr.R suggestsMe: genomation dependencyCount: 0 Package: GenomicDistributionsData Version: 1.14.0 Depends: R (>= 4.1) Imports: ExperimentHub (>= 1.14.0), AnnotationHub, AnnotationFilter, data.table, utils, BSgenome, GenomeInfoDb, GenomicFeatures, GenomicRanges, ensembldb Suggests: knitr, BiocStyle, rmarkdown License: BSD_2_clause + file LICENSE MD5sum: 76d8227fa4c313fdc471bb14415d8962 NeedsCompilation: no Title: Reference data for GenomicDistributions package Description: This package provides ready to use reference data for GenomicDistributions package. Raw data was obtained from ensembldb and processed with helper functions. Data files are available for the following genome assemblies: hg19, hg38, mm9 and mm10. biocViews: ExperimentHub, ExperimentData, Genome Author: Michal Stolarczyk [aut], Kristyna Kupkova [aut, cre], Jose Verdezoto [aut], John Lawson [ctb], Jason Smith [ctb], Nathan C. Sheffield [ctb] Maintainer: Kristyna Kupkova VignetteBuilder: knitr BugReports: http://github.com/databio/GenomicDistributionsData git_url: https://git.bioconductor.org/packages/GenomicDistributionsData git_branch: RELEASE_3_20 git_last_commit: f451eea git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GenomicDistributionsData_1.14.0.tar.gz vignettes: vignettes/GenomicDistributionsData/inst/doc/intro.html vignetteTitles: 1. Getting started with GenomicDistributionsData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GenomicDistributionsData/inst/doc/intro.R suggestsMe: GenomicDistributions dependencyCount: 104 Package: GeuvadisTranscriptExpr Version: 1.34.0 Depends: R (>= 3.5.0) Suggests: limma, rtracklayer, GenomicRanges, Rsamtools, VariantAnnotation, tools, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: 6a7d1b4c1733a4bbff15b5e1863160c4 NeedsCompilation: no Title: Data package with transcript expression and bi-allelic genotypes from the GEUVADIS project Description: Provides transcript expression and bi-allelic genotypes corresponding to the chromosome 19 for CEU individuals from the GEUVADIS project, Lappalainen et al. biocViews: Homo_sapiens_Data, SNPData, Genome, RNASeqData, SequencingData, ExpressionData Author: Malgorzata Nowicka [aut, cre] Maintainer: Malgorzata Nowicka VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GeuvadisTranscriptExpr git_branch: RELEASE_3_20 git_last_commit: dccab95 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GeuvadisTranscriptExpr_1.34.0.tar.gz vignettes: vignettes/GeuvadisTranscriptExpr/inst/doc/GeuvadisTranscriptExpr.pdf vignetteTitles: Preprocessing and preparation of transcript expression and genotypes from the GEUVADIS project for sQTL analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GeuvadisTranscriptExpr/inst/doc/GeuvadisTranscriptExpr.R suggestsMe: DRIMSeq dependencyCount: 0 Package: GIGSEAdata Version: 1.24.0 Depends: R (>= 3.5) Suggests: GIGSEA, knitr, rmarkdown License: LGPL-3 MD5sum: d4b48ce5a328de15cf771451f9d89c51 NeedsCompilation: no Title: Gene set collections for the GIGSEA package Description: The gene set collection used for the GIGSEA package. biocViews: ExperimentData, Homo_sapiens_Data Author: Shijia Zhu Maintainer: Shijia Zhu VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GIGSEAdata git_branch: RELEASE_3_20 git_last_commit: 6c3844d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GIGSEAdata_1.24.0.tar.gz vignettes: vignettes/GIGSEAdata/inst/doc/GIGSEAdata_tutorial.pdf vignetteTitles: GIGSEAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GIGSEAdata/inst/doc/GIGSEAdata_tutorial.R dependencyCount: 0 Package: golubEsets Version: 1.48.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: LGPL MD5sum: b464be536b50df612af2caa81b4395ea NeedsCompilation: no Title: exprSets for golub leukemia data Description: representation of public golub data with some covariate data of provenance unknown to the maintainer at present; now employs ExpressionSet format biocViews: ExperimentData, Genome, CancerData, LeukemiaCancerData Author: Todd Golub Maintainer: Vince Carey git_url: https://git.bioconductor.org/packages/golubEsets git_branch: RELEASE_3_20 git_last_commit: bd644c6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/golubEsets_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: Biobase, GlobalAncova, MLInterfaces, RDRToolbox, adSplit, biosigner, globaltest, idiogram, pvca, twilight dependencyCount: 6 Package: gpaExample Version: 1.18.0 Depends: R (>= 4.0.0) License: GPL (>= 2) MD5sum: 96d55ecbe0c635ee1e296e371f213ef1 NeedsCompilation: no Title: Example data for the GPA package (Genetic analysis incorporating Pleiotropy and Annotation) Description: Example data for the GPA package, consisting of the p-values of 1,219,805 SNPs for five psychiatric disorder GWAS from the psychiatric GWAS consortium (PGC), with the annotation data using genes preferentially expressed in the central nervous system (CNS). biocViews: ExperimentData, Homo_sapiens_Data, SNPData Author: Dongjun Chung, Carter Allen Maintainer: Dongjun Chung URL: http://dongjunchung.github.io/GPA/ git_url: https://git.bioconductor.org/packages/gpaExample git_branch: RELEASE_3_20 git_last_commit: 7cf574b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/gpaExample_1.18.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GPA dependencyCount: 0 Package: grndata Version: 1.38.0 Depends: R (>= 2.10) Suggests: RUnit, BiocGenerics, knitr License: GPL-3 MD5sum: 267a7286c8e9207afa54c0e5b1fff229 NeedsCompilation: no Title: Synthetic Expression Data for Gene Regulatory Network Inference Description: Simulated expression data for five large Gene Regulatory Networks from different simulators biocViews: ExperimentData, NetworkInference, GeneExpression, Microarray, GeneRegulation, Network Author: Pau Bellot, Catharina Olsen, Patrick E Meyer Maintainer: Pau Bellot VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/grndata git_branch: RELEASE_3_20 git_last_commit: 5325ad5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/grndata_1.38.0.tar.gz vignettes: vignettes/grndata/inst/doc/grndata.html vignetteTitles: GRNdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: GSBenchMark Version: 1.26.0 Depends: R (>= 2.13.1) License: GPL-2 MD5sum: 9225e7c0e665cac115205f804d932d00 NeedsCompilation: no Title: Gene Set Benchmark Description: Benchmarks for Machine Learning Analysis of the Gene Sets. The package contains a list of pathways and gene expression data sets used in "Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC)" (2010) by Eddy et al. biocViews: MicroarrayData Author: Bahman Afsari , Elana J. Fertig Maintainer: Bahman Afsari git_url: https://git.bioconductor.org/packages/GSBenchMark git_branch: RELEASE_3_20 git_last_commit: d92910e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSBenchMark_1.26.0.tar.gz vignettes: vignettes/GSBenchMark/inst/doc/GSBenchMark.pdf vignetteTitles: Working with the GSBenchMark package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSBenchMark/inst/doc/GSBenchMark.R suggestsMe: GSReg dependencyCount: 0 Package: GSE103322 Version: 1.12.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, SummarizedExperiment, SingleCellExperiment License: Artistic-2.0 MD5sum: ef8a6be2fbc94685daf9df2aa7b69085 NeedsCompilation: no Title: GEO accession data GSE103322 as a SingleCellExperiment Description: Single cell RNA-Seq data for 5902 cells from 18 patients with oral cavity head and neck squamous cell carcinoma available as GEO accession [GSE103322] (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103322). GSE103322 data have been parsed into a SincleCellExperiment object available in ExperimentHub. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData, ExperimentData, ExpressionData, RNASeqData, Homo_sapiens_Data, CancerData, SingleCellData, GEO, ExperimentHub Author: Mariano Alvarez [aut, cre] Maintainer: Mariano Alvarez VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE103322 git_branch: RELEASE_3_20 git_last_commit: 4d398b2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSE103322_1.12.0.tar.gz vignettes: vignettes/GSE103322/inst/doc/GSE103322.html vignetteTitles: scRNASeq HNSC data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSE103322/inst/doc/GSE103322.R dependencyCount: 79 Package: GSE13015 Version: 1.14.0 Depends: Biobase, GEOquery Imports: preprocessCore, SummarizedExperiment, GEOquery, Biobase Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown License: MIT License MD5sum: 016137663819811515c8a31ad8970e36 NeedsCompilation: no Title: GEO accession data GSE13015_GPL6106 as a SummarizedExperiment Description: Microarray expression matrix platform GPL6106 and clinical data for 67 septicemic patients and made them available as GEO accession [GSE13015](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13015). GSE13015 data have been parsed into a SummarizedExperiment object available in ExperimentHub. This data data could be used as an example supporting BloodGen3Module R package. biocViews: ExperimentData, MicroarrayData,ExperimentHub Author: Darawan Rinchai [aut, cre] () Maintainer: Darawan Rinchai VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE13015 git_branch: RELEASE_3_20 git_last_commit: 146ab36 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSE13015_1.14.0.tar.gz vignettes: vignettes/GSE13015/inst/doc/GSE13015.html vignetteTitles: Expression data from GSE13015 using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GSE13015/inst/doc/GSE13015.R dependencyCount: 80 Package: GSE159526 Version: 1.12.0 Suggests: ExperimentHub, BiocStyle, RefManageR, knitr, rmarkdown, testthat, minfi, tibble, sessioninfo License: MIT + file LICENSE MD5sum: 996ed6300106923241c4624b1fbd27bb NeedsCompilation: no Title: Placental cell DNA methylation data from GEO accession GSE159526 Description: 19 term and 9 first trimester placental chorionic villi and matched cell-sorted samples ran on Illumina HumanMethylationEPIC DNA methylation microarrays. This data was made available on GEO accession [GSE159526](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE159526). Both the raw and processed data has been made available on \code{ExperimentHub}. Raw unprocessed data formatted as an RGChannelSet object for integration and normalization using minfi and other existing Bioconductor packages. Processed normalized data is also available as a DNA methylation \code{matrix}, with a corresponding phenotype information as a \code{data.frame} object. biocViews: ExperimentData, ExperimentHub, GEO, Genome, Tissue, MethylationArrayData, Homo_sapiens_Data Author: Victor Yuan [aut, cre] () Maintainer: Victor Yuan URL: https://github.com/wvictor14/GSE159526 VignetteBuilder: knitr BugReports: https://github.com/wvictor14/GSE159526/issues git_url: https://git.bioconductor.org/packages/GSE159526 git_branch: RELEASE_3_20 git_last_commit: 7a87cb8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSE159526_1.12.0.tar.gz vignettes: vignettes/GSE159526/inst/doc/GSE159526.html vignetteTitles: Introduction to GSE159526 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GSE159526/inst/doc/GSE159526.R dependencyCount: 0 Package: GSE62944 Version: 1.34.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, DESeq2 License: Artistic-2.0 MD5sum: 314ad5bf5a423531bc075f753658e28a NeedsCompilation: no Title: GEO accession data GSE62944 as a SummarizedExperiment Description: TCGA processed RNA-Seq data for 9264 tumor and 741 normal samples across 24 cancer types and made them available as GEO accession [GSE62944](http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62944). GSE62944 data have been parsed into a SummarizedExperiment object available in ExperimentHub. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData Author: Sonali Arora Maintainer: Bioconductor Package Maintainer URL: http://bioconductor.org/packages/release/bioc/html/GSE62944.html VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE62944 git_branch: RELEASE_3_20 git_last_commit: 11e9a12 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSE62944_1.34.0.tar.gz vignettes: vignettes/GSE62944/inst/doc/GSE62944.html vignetteTitles: Raw TCGA data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSE62944/inst/doc/GSE62944.R suggestsMe: GSEABenchmarkeR dependencyCount: 79 Package: GSVAdata Version: 1.42.0 Depends: R (>= 3.5), Biobase, GSEABase, hgu95a.db, SummarizedExperiment License: Artistic-2.0 MD5sum: 19ce23485bb46391ee186ffc9558660e NeedsCompilation: no Title: Data employed in the vignette of the GSVA package Description: This package stores the data employed in the vignette of the GSVA package. These data belong to the following publications: Armstrong et al. Nat Genet 30:41-47, 2002; Cahoy et al. J Neurosci 28:264-278, 2008; Carrel and Willard, Nature, 434:400-404, 2005; Huang et al. PNAS, 104:9758-9763, 2007; Pickrell et al. Nature, 464:768-722, 2010; Skaletsky et al. Nature, 423:825-837; Verhaak et al. Cancer Cell 17:98-110, 2010; Costa et al. FEBS J, 288:2311-2331, 2021. biocViews: ExperimentData, RNASeqData, Homo_sapiens_Data, CancerData, LeukemiaCancerData Author: Robert Castelo Maintainer: Robert Castelo git_url: https://git.bioconductor.org/packages/GSVAdata git_branch: RELEASE_3_20 git_last_commit: 382a4a5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GSVAdata_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: singleCellTK, RVA suggestsMe: GSAR, GSVA dependencyCount: 63 Package: GWASdata Version: 1.44.0 Depends: GWASTools Suggests: ncdf4 License: Artistic-2.0 MD5sum: b27980b5cacc933bf897da291ad17871 NeedsCompilation: no Title: Data used in the examples and vignettes of the GWASTools package Description: Selected Affymetrix and Illlumina SNP data for HapMap subjects. Data provided by the Center for Inherited Disease Research at Johns Hopkins University and the Broad Institute of MIT and Harvard University. biocViews: ExperimentData, MicroarrayData, SNPData, HapMap Author: Stephanie Gogarten Maintainer: Stephanie Gogarten git_url: https://git.bioconductor.org/packages/GWASdata git_branch: RELEASE_3_20 git_last_commit: 8a1cce1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/GWASdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GENESIS, GWASTools dependencyCount: 94 Package: h5vcData Version: 2.26.0 Suggests: h5vc License: GPL (>= 3) MD5sum: da6264ea480859df1c681611088aeb89 NeedsCompilation: no Title: Example data for the h5vc package Description: This package contains the data used in the vignettes and examples of the 'h5vc' package biocViews: CancerData Author: Paul Theodor Pyl Maintainer: Paul Theodor Pyl git_url: https://git.bioconductor.org/packages/h5vcData git_branch: RELEASE_3_20 git_last_commit: 27c7ea2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/h5vcData_2.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: h5vc suggestsMe: HDF5Array dependencyCount: 0 Package: hapmap100khind Version: 1.48.0 Suggests: oligo License: GPL MD5sum: 164c26d681c90e1ddff583a7cf69e1d4 NeedsCompilation: no Title: Sample data - Hapmap 100K HIND Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap100khind git_branch: RELEASE_3_20 git_last_commit: ae90a3d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmap100khind_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap100kxba Version: 1.48.0 Suggests: oligo License: GPL MD5sum: 512c4b503328303dd5171444eb3c1e64 NeedsCompilation: no Title: Sample data - Hapmap 100K XBA Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap100kxba git_branch: RELEASE_3_20 git_last_commit: 89e4dc9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmap100kxba_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: hapmap500knsp Version: 1.48.0 Suggests: oligo License: GPL MD5sum: 37c94ad018546ed485cb9112c448aefe NeedsCompilation: no Title: Sample data - Hapmap 500K NSP Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap500knsp git_branch: RELEASE_3_20 git_last_commit: 5ef84dc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmap500knsp_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap500ksty Version: 1.48.0 Suggests: oligo License: GPL MD5sum: f5f4aeccf821977db1f500d8f2c20717 NeedsCompilation: no Title: Sample data - Hapmap 500K STY Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap500ksty git_branch: RELEASE_3_20 git_last_commit: 1b41870 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmap500ksty_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmapsnp5 Version: 1.48.0 Suggests: oligo License: GPL MD5sum: eeecae8e0670dcd874224997a8925116 NeedsCompilation: no Title: Sample data - Hapmap SNP 5.0 Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData, SNPData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmapsnp5 git_branch: RELEASE_3_20 git_last_commit: 0eabefd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmapsnp5_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligoClasses dependencyCount: 0 Package: hapmapsnp6 Version: 1.48.0 Depends: R (>= 2.15) Suggests: oligo, oligoClasses License: GPL MD5sum: be147d4601ac606b148642d5399c0f12 NeedsCompilation: no Title: Sample data - Hapmap SNP 6.0 Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, SNPData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmapsnp6 git_branch: RELEASE_3_20 git_last_commit: 8584a2e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hapmapsnp6_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: crlmm, oligoClasses dependencyCount: 0 Package: harbChIP Version: 1.44.0 Depends: R (>= 2.10.0), tools, utils, IRanges, Biobase (>= 2.5.5), Biostrings Imports: methods, stats License: Artistic-2.0 MD5sum: f4cac0290c8ca0b869d065858e08ef1b NeedsCompilation: no Title: Experimental Data Package: harbChIP Description: data from a yeast ChIP-chip experiment biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/harbChIP git_branch: RELEASE_3_20 git_last_commit: 4cc9ca0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/harbChIP_1.44.0.tar.gz vignettes: vignettes/harbChIP/inst/doc/yeastUpstream.pdf vignetteTitles: upstream sequence management for yeast hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/harbChIP/inst/doc/yeastUpstream.R dependencyCount: 26 Package: HarmanData Version: 1.34.0 Depends: R (>= 3.5.0) Suggests: BiocGenerics, BiocStyle, knitr, rmarkdown, Harman (>= 1.23.3) License: GPL-3 MD5sum: f02d7d5fe9c935069af10076dade4bac NeedsCompilation: no Title: Data for the Harman package Description: Datasets of accompany Harman, a PCA and constrained optimisation based technique. Contains three example datasets: IMR90, Human lung fibroblast cells exposed to nitric oxide; NPM, an experiment to test skin penetration of metal oxide nanoparticles following topical application of sunscreens in non-pregnant mice; OLF; an experiment to gauge the response of human olfactory neurosphere-derived (hONS) cells to ZnO nanoparticles. Since version 1.24, this package also contains the Infinium5 dataset, a set of batch correction adjustments across 5 Illumina Infinium Methylation BeadChip datasets. This file does not contain methylation data, but summary statistics of 5 datasets after correction. There is also an EpiSCOPE_sample file as exampling for the new methylation clustering functionality in Harman. biocViews: ExpressionData, MicroarrayData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data Author: Yalchin Oytam [aut], Josh Bowden [aut], Jason Ross [aut, cre] Maintainer: Jason Ross URL: http://www.bioinformatics.csiro.au/harman/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HarmanData git_branch: RELEASE_3_20 git_last_commit: 6129965 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HarmanData_1.34.0.tar.gz vignettes: vignettes/HarmanData/inst/doc/HarmanData.html vignetteTitles: HarmanData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HarmanData/inst/doc/HarmanData.R suggestsMe: Harman dependencyCount: 0 Package: HarmonizedTCGAData Version: 1.28.0 Depends: R (>= 3.4.0) Imports: ExperimentHub Suggests: AnnotationHub, knitr, rmarkdown, igraph, survival, ANF, stats, testthat License: GPL-3 MD5sum: 6c789331d5bae50ac2645b29768ef1b5 NeedsCompilation: no Title: Processed Harmonized TCGA Data of Five Selected Cancer Types Description: This package contains the processed harmonized TCGA data of five cancer types used in "Tianle Ma and Aidong Zhang, Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering". biocViews: CancerData, ReproducibleResearch Author: Tianle Ma Maintainer: Tianle Ma VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HarmonizedTCGAData git_branch: RELEASE_3_20 git_last_commit: 14c85ae git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HarmonizedTCGAData_1.28.0.tar.gz vignettes: vignettes/HarmonizedTCGAData/inst/doc/HarmonizedTCGAData.html vignetteTitles: Patient Affinity Matrices Derived from Harmonized TCGA Dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HarmonizedTCGAData/inst/doc/HarmonizedTCGAData.R dependencyCount: 67 Package: HCAData Version: 1.22.0 Depends: R (>= 3.6), SingleCellExperiment Imports: ExperimentHub, AnnotationHub, HDF5Array, utils Suggests: knitr, rmarkdown, BiocStyle, scran (>= 1.11.4), BiocSingular, scater, scuttle, Rtsne, igraph, iSEE, testthat License: MIT + file LICENSE MD5sum: 20709447d85048afded279c78fe2c531 NeedsCompilation: no Title: Accessing The Datasets Of The Human Cell Atlas in R/Bioconductor Description: This package allows a direct access to the dataset generated by the Human Cell Atlas project for further processing in R and Bioconductor, in the comfortable format of SingleCellExperiment objects (available in other formats here: http://preview.data.humancellatlas.org/). biocViews: RNASeqData, SingleCellData, ExperimentData, ExpressionData, ExperimentHub Author: Federico Marini [aut, cre] () Maintainer: Federico Marini URL: https://github.com/federicomarini/HCAData VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HCAData git_branch: RELEASE_3_20 git_last_commit: 90ffc83 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HCAData_1.22.0.tar.gz vignettes: vignettes/HCAData/inst/doc/hcadata.html vignetteTitles: Accessing the Human Cell Atlas datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HCAData/inst/doc/hcadata.R dependsOnMe: OSCA.workflows dependencyCount: 83 Package: HCATonsilData Version: 1.4.0 Depends: R (>= 4.3.0) Imports: ExperimentHub, SingleCellExperiment, SpatialExperiment, HDF5Array, SummarizedExperiment, S4Vectors, htmltools, rmarkdown, base64enc, utils Suggests: knitr, ggplot2, testthat (>= 3.0.0), scater, Seurat, Signac, zellkonverter, iSEE, ggspavis, kableExtra, BiocStyle License: MIT + file LICENSE MD5sum: 5b5ff3154f189e90ed13a40a0904d16c NeedsCompilation: no Title: Provide programmatic access to the tonsil cell atlas datasets Description: This package provides access to the scRNA-seq, scATAC-seq, multiome, CITE-seq and spatial transcriptomics (Visium) data generated by the tonsil cell atlas in the context of the Human Cell Atlas (HCA). The data is provided via the Bioconductor project in the form of SingleCellExperiments. Additionally, information on the whole compendium of identified cell types is provided in form of a glossary. biocViews: SingleCellData, ExperimentData, RNASeqData, ExperimentHub, ExpressionData, SpatialData Author: Ramon Massoni-Badosa [aut, cre] (), Federico Marini [aut] (), Alan O'Callaghan [aut], Helena L. Crowell [aut] () Maintainer: Ramon Massoni-Badosa URL: https://github.com/massonix/HCATonsilData VignetteBuilder: knitr BugReports: https://github.com/massonix/HCATonsilData/issues git_url: https://git.bioconductor.org/packages/HCATonsilData git_branch: RELEASE_3_20 git_last_commit: 76f3287 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HCATonsilData_1.4.0.tar.gz vignettes: vignettes/HCATonsilData/inst/doc/HCATonsilData.html vignetteTitles: HCATonsilData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HCATonsilData/inst/doc/HCATonsilData.R dependencyCount: 101 Package: HD2013SGI Version: 1.46.0 Depends: R (>= 2.10.0), RColorBrewer, gplots, geneplotter, splots, limma, vcd, LSD,EBImage Suggests: BiocStyle License: Artistic-2.0 MD5sum: 1cb210d619cf563fb29d05ba42f1cefa NeedsCompilation: no Title: Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping Description: This package contains the experimental data and a complete executable transcript (vignette) of the analysis of the HCT116 genetic interaction matrix presented in the paper "Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping" by C. Laufer, B. Fischer, M. Billmann, W. Huber, M. Boutros; Nature Methods (2013) 10:427-31. doi: 10.1038/nmeth.2436. biocViews: ExperimentData, CancerData, ColonCancerData, MicrotitrePlateAssayData, CellCulture, Homo_sapiens_Data, HighThroughputImagingData Author: Bernd Fischer Maintainer: Mike Smith SystemRequirements: GNU make git_url: https://git.bioconductor.org/packages/HD2013SGI git_branch: RELEASE_3_20 git_last_commit: 21d1615 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HD2013SGI_1.46.0.tar.gz vignettes: vignettes/HD2013SGI/inst/doc/HD2013SGI.pdf vignetteTitles: HD2013SGI hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HD2013SGI/inst/doc/HD2013SGI.R suggestsMe: splots dependencyCount: 90 Package: HDCytoData Version: 1.26.0 Depends: ExperimentHub, SummarizedExperiment, flowCore Imports: utils, methods Suggests: BiocStyle, knitr, rmarkdown, Rtsne, umap, ggplot2, FlowSOM, mclust License: MIT + file LICENSE MD5sum: 8a0dae06b9da48f201c3c1332c6d57d9 NeedsCompilation: no Title: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats Description: Data package containing a set of publicly available high-dimensional cytometry benchmark datasets, formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels (where available), and labels identifying 'spiked in' cells (where available). Column metadata includes channel names, protein marker names, and protein marker classes (cell type or cell state). biocViews: ExperimentHub, ExperimentData, ExpressionData, FlowCytometryData, SingleCellData, Homo_sapiens_Data, ImmunoOncologyData Author: Lukas M. Weber [aut, cre], Charlotte Soneson [aut] Maintainer: Lukas M. Weber URL: https://github.com/lmweber/HDCytoData VignetteBuilder: knitr BugReports: https://github.com/lmweber/HDCytoData/issues git_url: https://git.bioconductor.org/packages/HDCytoData git_branch: RELEASE_3_20 git_last_commit: c60da57 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HDCytoData_1.26.0.tar.gz vignettes: vignettes/HDCytoData/inst/doc/Contribution_guidelines.html, vignettes/HDCytoData/inst/doc/Examples_and_use_cases.html, vignettes/HDCytoData/inst/doc/HDCytoData_package.html vignetteTitles: 3. Contribution guidelines, 2. Examples and use cases, 1. HDCytoData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HDCytoData/inst/doc/Contribution_guidelines.R, vignettes/HDCytoData/inst/doc/Examples_and_use_cases.R, vignettes/HDCytoData/inst/doc/HDCytoData_package.R dependsOnMe: cytofWorkflow suggestsMe: CytoMDS, diffcyt, tidyFlowCore, tidytof dependencyCount: 84 Package: healthyControlsPresenceChecker Version: 1.10.0 Depends: R (>= 4.0.0) Imports: xml2, GEOquery, geneExpressionFromGEO, magrittr Suggests: RUnit, BiocGenerics, markdown, BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 7834e53a3995caf74a55a7f4c63fb344 NeedsCompilation: no Title: Dowloads A Gene Expression Dataset From GEO And Checks If It Contains Data Of Healthy Controls Or Not Description: A function that reads in the GEO accession code of a gene expression dataset, retrieves its data from GEO, and checks if data of healthy controls are present in the dataset. It returns true if healthy controls data are found, and false otherwise. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL . biocViews: GEO, RepositoryData, ExpressionData Author: Davide Chicco [aut, cre] () Maintainer: Davide Chicco URL: https://github.com/davidechicco/healthyControlsPresenceChecker VignetteBuilder: knitr BugReports: https://github.com/davidechicco/healthyControlsPresenceChecker/issues git_url: https://git.bioconductor.org/packages/healthyControlsPresenceChecker git_branch: RELEASE_3_20 git_last_commit: a150a4c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/healthyControlsPresenceChecker_1.10.0.tar.gz vignettes: vignettes/healthyControlsPresenceChecker/inst/doc/healthyControlsPresenceChecker.html vignetteTitles: healthyControlsPresenceChecker vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/healthyControlsPresenceChecker/inst/doc/healthyControlsPresenceChecker.R dependencyCount: 97 Package: healthyFlowData Version: 1.44.0 Depends: R (>= 2.15.0), flowCore Imports: methods License: Artistic-2.0 MD5sum: a93dbeb707da467b9072d8926d5e79e6 NeedsCompilation: no Title: Healthy dataset used by the flowMatch package Description: A healthy dataset with 20 flow cytometry samples used by the flowMatch package. biocViews: FlowCytometryData Author: Ariful Azad Maintainer: Ariful Azad git_url: https://git.bioconductor.org/packages/healthyFlowData git_branch: RELEASE_3_20 git_last_commit: 4db75f2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/healthyFlowData_1.44.0.tar.gz vignettes: vignettes/healthyFlowData/inst/doc/healthyFlowData.pdf vignetteTitles: healthyFlowData: A healthy dataset with 20 flow cytometry samples used by the flowMatch package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/healthyFlowData/inst/doc/healthyFlowData.R suggestsMe: flowMatch dependencyCount: 17 Package: HEEBOdata Version: 1.44.0 License: LGPL MD5sum: 521b9fe3601e422c49f5259ad67780ce NeedsCompilation: no Title: HEEBO set and HEEBO controls. Description: R objects describing the HEEBO oligo set. biocViews: ExperimentData Author: Agnes Paquet Maintainer: Agnes Paquet URL: http://alizadehlab.stanford.edu/ http://arrays.ucsf.edu/ git_url: https://git.bioconductor.org/packages/HEEBOdata git_branch: RELEASE_3_20 git_last_commit: b496ab0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HEEBOdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: HelloRangesData Version: 1.32.0 Suggests: BiocStyle License: GPL (>= 2) MD5sum: acda716ebef959e29b29129559d11134 NeedsCompilation: no Title: Data for the HelloRanges tutorial vignette Description: Provides the data that were used in the bedtools tutorial by Aaron Quinlan (http://quinlanlab.org/tutorials/bedtools/bedtools.html). Includes a subset of the DnaseI hypersensitivity data from "Maurano et al. Systematic Localization of Common Disease-Associated Variation in Regulatory DNA. Science. 2012. Vol. 337 no. 6099 pp. 1190-1195." The rest of the tracks were originally downloaded from the UCSC table browser. See the HelloRanges vignette for a port of the bedtools tutorial to R. biocViews: ExperimentData, SequencingData Author: Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/HelloRangesData git_branch: RELEASE_3_20 git_last_commit: 7b096c0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HelloRangesData_1.32.0.tar.gz vignettes: vignettes/HelloRangesData/inst/doc/intro.pdf vignetteTitles: HelloRanges Example Data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HelloRangesData/inst/doc/intro.R suggestsMe: HelloRanges, plyranges dependencyCount: 0 Package: hgu133abarcodevecs Version: 1.44.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 86e728d6eabf7c2b2d0629e4489ba140 NeedsCompilation: no Title: hgu133a data for barcode Description: Data used by the barcode package for microarrays of type hgu133a. biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/hgu133abarcodevecs git_branch: RELEASE_3_20 git_last_commit: 3367323 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hgu133abarcodevecs_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2barcodevecs Version: 1.44.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 8e70491d7b0590fa84517fbb449ec2db NeedsCompilation: no Title: hgu133plus2 data for barcode Description: Data used by the barcode package for microarrays of type hgu133plus2. biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/hgu133plus2barcodevecs git_branch: RELEASE_3_20 git_last_commit: 045262d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hgu133plus2barcodevecs_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2CellScore Version: 1.26.0 Depends: R (>= 3.5.0) Imports: Biobase (>= 2.39.1) Suggests: knitr License: GPL-3 MD5sum: ece73161aa2c3ec43a558994e4a81dd1 NeedsCompilation: no Title: CellScore Standard Cell Types Expression Dataset [hgu133plus2] Description: The CellScore Standard Dataset contains expression data from a wide variety of human cells and tissues, which should be used as standard cell types in the calculation of the CellScore. All data was curated from public databases such as Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) or ArrayExpress (https://www.ebi.ac.uk/arrayexpress/). This standard dataset only contains data from the Affymetrix GeneChip Human Genome U133 Plus 2.0 microarrays. Samples were manually annotated using the database information or consulting the publications in which the datasets originated. The sample annotations are stored in the phenoData slot of the expressionSet object. Raw data (CEL files) were processed with the affy package to generate present/absent calls (mas5calls) and background-subtracted values, which were then normalized by the R-package yugene to yield the final expression values for the standard expression matrix. The annotation table for the microarray was retrieved from the BioC annotation package hgu133plus2. All data are stored in an expressionSet object. biocViews: ExpressionData, MicroarrayData, GEO, ExperimentData, Homo_sapiens_Data, Genome, ArrayExpress Author: Nancy Mah, Katerina Taskova Maintainer: Nancy Mah VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/hgu133plus2CellScore git_branch: RELEASE_3_20 git_last_commit: 8409b96 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hgu133plus2CellScore_1.26.0.tar.gz vignettes: vignettes/hgu133plus2CellScore/inst/doc/hgu133plus2Vignette.pdf vignetteTitles: R packages: hgu133plus2CellScore hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/hgu133plus2CellScore/inst/doc/hgu133plus2Vignette.R suggestsMe: CellScore dependencyCount: 6 Package: hgu2beta7 Version: 1.46.0 Depends: R (>= 2.0.0) License: Artistic-2.0 MD5sum: 4b1f0eca6477f5475ebdccb2c06f6634 NeedsCompilation: no Title: A data package containing annotation data for hgu2beta7 Description: Annotation data file for hgu2beta7 assembled using data from public data repositories biocViews: Genome Author: Chenwei Lin Maintainer: Bioconductor Package Maintainer git_url: https://git.bioconductor.org/packages/hgu2beta7 git_branch: RELEASE_3_20 git_last_commit: 6caf661 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/hgu2beta7_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HiBED Version: 1.4.0 Depends: R (>= 3.5.0) Imports: dplyr, FlowSorted.Blood.EPIC, tibble, FlowSorted.DLPFC.450k, minfi, utils, AnnotationHub, SummarizedExperiment Suggests: knitr, rmarkdown, testthat, IlluminaHumanMethylation450kmanifest License: GPL-3 MD5sum: 2858803aaed3e0110711dfb4246789bc NeedsCompilation: no Title: HiBED Description: Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation. The HiBED deconvolution estimates proportions up to 7 cell types (GABAergic neurons, glutamatergic neurons, astrocytes, microglial cells, oligodendrocytes, endothelial cells, and stromal cells) in bulk brain tissues. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, MethylationArrayData, PackageTypeData Author: Ze Zhang [cre, aut] (), Lucas A. Salas [aut] Maintainer: Ze Zhang URL: https://github.com/SalasLab/HiBED VignetteBuilder: knitr BugReports: https://github.com/SalasLab/HiBED/issues. git_url: https://git.bioconductor.org/packages/HiBED git_branch: RELEASE_3_20 git_last_commit: ff56da8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HiBED_1.4.0.tar.gz vignettes: vignettes/HiBED/inst/doc/HiBED.html vignetteTitles: HiBED hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiBED/inst/doc/HiBED.R dependencyCount: 154 Package: HiCDataHumanIMR90 Version: 1.26.0 Depends: R (>= 3.5.0) Suggests: HiTC, BiocStyle License: GPL-3 MD5sum: 6fa599b5b8d54523c6bb6dcd12d135a5 NeedsCompilation: no Title: Human IMR90 Fibroblast HiC data from Dixon et al. 2012 Description: The HiC data from Human Fibroblast IMR90 cell line (HindIII restriction) was retrieved from the GEO website, accession number GSE35156 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE35156). The raw reads were processed as explained in Dixon et al. (Nature 2012). biocViews: ExperimentData, Genome, Homo_sapiens_Data, GEO Author: Nicolas Servant Maintainer: Nicolas Servant git_url: https://git.bioconductor.org/packages/HiCDataHumanIMR90 git_branch: RELEASE_3_20 git_last_commit: 65003f3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HiCDataHumanIMR90_1.26.0.tar.gz vignettes: vignettes/HiCDataHumanIMR90/inst/doc/HiC_Human_IMR90.pdf vignetteTitles: HiC Data Human Fibroblast Dixon et al. 2012 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiCDataHumanIMR90/inst/doc/HiC_Human_IMR90.R suggestsMe: HiTC dependencyCount: 0 Package: HiCDataLymphoblast Version: 1.42.0 Suggests: ShortRead License: GPL-3 MD5sum: 22efbfbd94821942a7e1c9e0e9df0db6 NeedsCompilation: no Title: Human lymphoblastoid HiC data from Lieberman-Aiden et al. 2009 Description: The HiC data from human lymphoblastoid cell line (HindIII restriction) was retrieved from the sequence read archive and two ends of the paired reads were aligned separately with bowtie. biocViews: ExperimentData, Homo_sapiens_Data Author: Borbala Mifsud Maintainer: Borbala Mifsud git_url: https://git.bioconductor.org/packages/HiCDataLymphoblast git_branch: RELEASE_3_20 git_last_commit: f12b241 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HiCDataLymphoblast_1.42.0.tar.gz vignettes: vignettes/HiCDataLymphoblast/inst/doc/package_vignettes.pdf vignetteTitles: package_vignettes.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiCDataLymphoblast/inst/doc/package_vignettes.R suggestsMe: GOTHiC dependencyCount: 0 Package: HiContactsData Version: 1.8.0 Depends: ExperimentHub Imports: BiocFileCache, AnnotationHub Suggests: testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 0798e7ca7fd4015c2885161ce8db285a NeedsCompilation: no Title: HiContacts companion data package Description: Provides a collection of Hi-C files (pairs, (m)cool and fastq). These datasets can be read into R and further investigated and visualized with the HiContacts package. Data includes yeast Hi-C data generated by the Koszul lab from the Pasteur Institute. biocViews: ExperimentHub, ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/HiContactsData VignetteBuilder: knitr BugReports: https://github.com/js2264/HiContactsData/issues git_url: https://git.bioconductor.org/packages/HiContactsData git_branch: RELEASE_3_20 git_last_commit: e8beefb git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HiContactsData_1.8.0.tar.gz vignettes: vignettes/HiContactsData/inst/doc/HiContactsData.html vignetteTitles: HiContactsData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HiContactsData/inst/doc/HiContactsData.R importsMe: OHCA suggestsMe: HiCExperiment, HiContacts, HiCool, plyinteractions dependencyCount: 67 Package: HighlyReplicatedRNASeq Version: 1.18.0 Depends: SummarizedExperiment, ExperimentHub Imports: S4Vectors Suggests: BiocStyle, BiocFileCache, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 99ee0dea69d529c22e03384cc5a61941 NeedsCompilation: no Title: Collection of Bulk RNA-Seq Experiments With Many Replicates Description: Gene-level count matrix data for bulk RNA-seq dataset with many replicates. The data are provided as easy to use SummarizedExperiment objects. The source data that is made accessible through this package comes from https://github.com/bartongroup/profDGE48. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData Author: Constantin Ahlmann-Eltze [aut, cre] () Maintainer: Constantin Ahlmann-Eltze URL: https://github.com/const-ae/HighlyReplicatedRNASeq VignetteBuilder: knitr BugReports: https://github.com/const-ae/HighlyReplicatedRNASeq/issues git_url: https://git.bioconductor.org/packages/HighlyReplicatedRNASeq git_branch: RELEASE_3_20 git_last_commit: d8922a9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HighlyReplicatedRNASeq_1.18.0.tar.gz vignettes: vignettes/HighlyReplicatedRNASeq/inst/doc/HighlyReplicatedRNASeq.html vignetteTitles: Exploring the 86 bulk RNA-seq samples from the Schurch et al. (2016) study hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HighlyReplicatedRNASeq/inst/doc/HighlyReplicatedRNASeq.R dependencyCount: 78 Package: Hiiragi2013 Version: 1.41.0 Depends: R (>= 3.0.0), affy, Biobase, boot, clue, cluster, genefilter, geneplotter, gplots, gtools, KEGGREST, MASS, mouse4302.db, RColorBrewer, xtable Imports: grid, lattice, latticeExtra Suggests: ArrayExpress, BiocStyle License: Artistic-2.0 MD5sum: 71c665b10052ac72002701dd45990dc7 NeedsCompilation: no Title: Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages Description: This package contains the experimental data and a complete executable transcript (vignette) of the statistical analysis presented in the paper "Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages" by Y. Ohnishi, W. Huber, A. Tsumura, M. Kang, P. Xenopoulos, K. Kurimoto, A. K. Oles, M. J. Arauzo-Bravo, M. Saitou, A.-K. Hadjantonakis and T. Hiiragi; Nature Cell Biology (2014) 16(1): 27-37. doi: 10.1038/ncb2881." biocViews: ExperimentData, MicroarrayData, qPCRData, ReproducibleResearch Author: Andrzej Oles, Wolfgang Huber Maintainer: Andrzej Oles git_url: https://git.bioconductor.org/packages/Hiiragi2013 git_branch: devel git_last_commit: 3911b68 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/Hiiragi2013_1.41.0.tar.gz vignettes: vignettes/Hiiragi2013/inst/doc/Hiiragi2013.pdf vignetteTitles: Hiiragi2013 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Hiiragi2013/inst/doc/Hiiragi2013.R dependencyCount: 79 Package: HIVcDNAvantWout03 Version: 1.46.0 License: GPL (>= 2) MD5sum: d8a55d85bce20ea0197759f2da10a230 NeedsCompilation: no Title: T cell line infections with HIV-1 LAI (BRU) Description: The expression levels of approximately 4600 cellular RNA transcripts were assessed in CD4+ T cell lines at different times after infection with HIV-1BRU using DNA microarrays. This data corresponds to the first block of a 12 block array image (001030_08_1.GEL) in the first data set (2000095918 A) in the first experiment (CEM LAI vs HI-LAI 24hr). There are two data sets, which are part of a dye-swap experiment with replicates, representing the Cy3 (green) absorption intensities for channel 1 (hiv1raw) and the Cy5 (red) absorption intensities for channel 2 (hiv2raw). biocViews: ExperimentData, MicroarrayData, TwoChannelData, HIVData Author: Dr. Angelique van't Wout, Department of Microbiology, University of Washington Maintainer: Chris Fraley URL: http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html git_url: https://git.bioconductor.org/packages/HIVcDNAvantWout03 git_branch: RELEASE_3_20 git_last_commit: bce90e1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HIVcDNAvantWout03_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HMP16SData Version: 1.26.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, assertthat, dplyr, kableExtra, knitr, magrittr, methods, readr, stringr, tibble, utils Suggests: Biobase, BiocCheck, BiocManager, BiocStyle, circlize, cowplot, dendextend, devtools, ggplot2, gridExtra, haven, phyloseq, rmarkdown, roxygen2, stats, testthat, tidyr License: Artistic-2.0 MD5sum: 7dcdd859e777169f9dacff8369a65e15 NeedsCompilation: no Title: 16S rRNA Sequencing Data from the Human Microbiome Project Description: HMP16SData is a Bioconductor ExperimentData package of the Human Microbiome Project (HMP) 16S rRNA sequencing data for variable regions 1–3 and 3–5. Raw data files are provided in the package as downloaded from the HMP Data Analysis and Coordination Center. Processed data is provided as SummarizedExperiment class objects via ExperimentHub. biocViews: ExperimentData, ExperimentHub, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch, SequencingData Author: Lucas schiffer [aut, cre] (), Rimsha Azhar [aut], Marcel Ramos [ctb], Ludwig Geistlinger [ctb], Levi Waldron [aut] Maintainer: Lucas schiffer URL: https://github.com/waldronlab/HMP16SData VignetteBuilder: knitr BugReports: https://github.com/waldronlab/HMP16SData/issues git_url: https://git.bioconductor.org/packages/HMP16SData git_branch: RELEASE_3_20 git_last_commit: 9e1a30d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HMP16SData_1.26.0.tar.gz vignettes: vignettes/HMP16SData/inst/doc/HMP16SData.html vignetteTitles: HMP16SData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HMP16SData/inst/doc/HMP16SData.R dependencyCount: 112 Package: HMP2Data Version: 1.20.0 Depends: R (>= 3.6.0) Imports: AnnotationHub, assertthat, dplyr, ExperimentHub, kableExtra, knitr, magrittr, methods, readr, S4Vectors, SummarizedExperiment, phyloseq, MultiAssayExperiment, data.table Suggests: Biobase, BiocCheck, BiocManager, BiocStyle, cowplot, devtools, ggplot2, gridExtra, haven, rmarkdown, roxygen2, stats, testthat, tibble, UpSetR License: Artistic-2.0 MD5sum: 6d8778e92c4375d4bc35c25ab174473d NeedsCompilation: no Title: 16s rRNA sequencing data from the Human Microbiome Project 2 Description: HMP2Data is a Bioconductor package of the Human Microbiome Project 2 (HMP2) 16S rRNA sequencing data. Processed data is provided as phyloseq, SummarizedExperiment, and MultiAssayExperiment class objects. Individual matrices and data.frames used for building these S4 class objects are also provided in the package. biocViews: ExperimentData, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch, SequencingData Author: John Stansfield , Ekaterina Smirnova , Ni Zhao , Jennifer Fettweis , Levi Waldron , Mikhail Dozmorov Maintainer: John Stansfield , Ekaterina Smirnova URL: https://github.com/jstansfield0/HMP2Data VignetteBuilder: knitr BugReports: https://github.com/jstansfield0/HMP2Data/issues git_url: https://git.bioconductor.org/packages/HMP2Data git_branch: RELEASE_3_20 git_last_commit: d5f9d3a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HMP2Data_1.20.0.tar.gz vignettes: vignettes/HMP2Data/inst/doc/hmp2data.html vignetteTitles: HMP2Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HMP2Data/inst/doc/hmp2data.R dependencyCount: 145 Package: homosapienDEE2CellScore Version: 1.2.0 Imports: Rtsne (>= 0.15), utils(>= 3.5.0), ExperimentHub, BiocGenerics, DESeq2, S4Vectors, SummarizedExperiment, getDEE2, MatrixGenerics Suggests: knitr, rmarkdown, devtools, Biobase (>= 2.39.1), BiocManager, AnnotationHubData, ExperimentHubData, AnnotationHub, CellScore (>= 1.21.4) License: GPL (>= 3) MD5sum: 4894dd9b37b59acd890668da27325b53 NeedsCompilation: no Title: Example Data Package for CellScore Description: This is a data package for normalised homosapien data downloaded from DEE2. The package both downloads, normalises, and filters the data, and provides a way to access the data from a canonical store without needing local processing. This package was built as a way to generate and store canonical test data for CellScore. biocViews: RNASeqData, Genome, ExperimentHub, ExpressionData Author: Justin Marsh [aut, cre] Maintainer: Justin Marsh VignetteBuilder: knitr BugReports: https://github.com/flaviusb/homosapienDEE2CellScore/issues git_url: https://git.bioconductor.org/packages/homosapienDEE2CellScore git_branch: RELEASE_3_20 git_last_commit: a142e9f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/homosapienDEE2CellScore_1.2.0.tar.gz vignettes: vignettes/homosapienDEE2CellScore/inst/doc/use-data-package.html vignetteTitles: Use the Data in this Data Package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/homosapienDEE2CellScore/inst/doc/use-data-package.R dependencyCount: 108 Package: HSMMSingleCell Version: 1.26.0 Depends: R (>= 2.10) License: Artistic-2.0 MD5sum: 81add770e941f389d38651577056a14e NeedsCompilation: no Title: Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM) Description: Skeletal myoblasts undergo a well-characterized sequence of morphological and transcriptional changes during differentiation. In this experiment, primary human skeletal muscle myoblasts (HSMM) were expanded under high mitogen conditions (GM) and then differentiated by switching to low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several hundred cells taken over a time-course of serum-induced differentiation. Between 49 and 77 cells were captured at each of four time points (0, 24, 48, 72 hours) following serum switch using the Fluidigm C1 microfluidic system. RNA from each cell was isolated and used to construct mRNA-Seq libraries, which were then sequenced to a depth of ~4 million reads per library, resulting in a complete gene expression profile for each cell. biocViews: ExperimentData, RNASeqData Author: Cole Trapnell Maintainer: Cole Trapnell git_url: https://git.bioconductor.org/packages/HSMMSingleCell git_branch: RELEASE_3_20 git_last_commit: 0ee9746 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HSMMSingleCell_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: monocle dependencyCount: 0 Package: HumanAffyData Version: 1.32.0 Depends: ExperimentHub, Biobase, R (>= 3.3) Suggests: BiocStyle License: Artistic-2.0 MD5sum: abaf3ed8ff9db09d86de2a6f5f364e54 NeedsCompilation: no Title: GEO accession GSE64985 and ArrayExpress accession E-MTAB-62 as ExpressionSet objects Description: Re-analysis of human gene expression data generated on the Affymetrix HG_U133PlusV2 (EH176) and Affymetrix HG_U133A (EH177) platforms. The original data were normalized using robust multiarray averaging (RMA) to obtain an integrated gene expression atlas across diverse biological sample types and conditions. The entire compendia comprisee 9395 arrays for EH176 and 5372 arrays for EH177. biocViews: ExperimentData, GEO, ArrayExpress, Homo_sapiens_Data, MicroarrayData, ExpressionData Author: Brad Nelms Maintainer: Brad Nelms git_url: https://git.bioconductor.org/packages/HumanAffyData git_branch: RELEASE_3_20 git_last_commit: 3e1c2d0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/HumanAffyData_1.32.0.tar.gz vignettes: vignettes/HumanAffyData/inst/doc/HumanAffyData.pdf vignetteTitles: Intro to the HumanAffyData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HumanAffyData/inst/doc/HumanAffyData.R suggestsMe: CellMapper dependencyCount: 67 Package: humanStemCell Version: 0.46.0 Depends: Biobase (>= 2.5.5), hgu133plus2.db License: Artistic-2.0 MD5sum: 4531bfaff7e8e167ce039037db799cd6 NeedsCompilation: no Title: Human Stem Cells time course experiment Description: Affymetrix time course experiment on human stem cells (two time points: undifferentiated and differentiated). biocViews: ExperimentData, Homo_sapiens_Data Author: R. Gentleman, N. Le Meur, M. Tewari Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/humanStemCell git_branch: RELEASE_3_20 git_last_commit: 6be3eb8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/humanStemCell_0.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MiRaGE, rtracklayer dependencyCount: 47 Package: IHWpaper Version: 1.34.0 Depends: R (>= 3.3), IHW Imports: Rcpp, stats, splines, methods, utils, DESeq2, SummarizedExperiment, fdrtool, genefilter, qvalue, Biobase, BiocGenerics, BiocParallel, dplyr, grid, ggplot2, cowplot LinkingTo: Rcpp Suggests: testthat, RColorBrewer, wesanderson, scales, gridExtra, BiocStyle, knitr, rmarkdown, airway, locfdr, tidyr, latex2exp License: Artistic-2.0 MD5sum: a934c0fe5745d5172c0bc40d7fe67166 NeedsCompilation: yes Title: Reproduce figures in IHW paper Description: This package conveniently wraps all functions needed to reproduce the figures in the IHW paper (https://www.nature.com/articles/nmeth.3885) and the data analysis in https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12411, cf. the arXiv preprint (http://arxiv.org/abs/1701.05179). Thus it is a companion package to the Bioconductor IHW package. biocViews: ReproducibleResearch, ExperimentData, RNASeqData, ExpressionData Author: Nikos Ignatiadis [aut, cre] Maintainer: Nikos Ignatiadis VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/IHWpaper git_branch: RELEASE_3_20 git_last_commit: e0c1464 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/IHWpaper_1.34.0.tar.gz vignettes: vignettes/IHWpaper/inst/doc/BH-explanation.html, vignettes/IHWpaper/inst/doc/explaining_tdr.html, vignettes/IHWpaper/inst/doc/grenander_vs_ecdf.html, vignettes/IHWpaper/inst/doc/hqtl_IHW_BY.html, vignettes/IHWpaper/inst/doc/IHW_bonferroni_simulations.html, vignettes/IHWpaper/inst/doc/real_data_examples_single_curve.html, vignettes/IHWpaper/inst/doc/real_data_examples.html, vignettes/IHWpaper/inst/doc/simulations_vignette.html, vignettes/IHWpaper/inst/doc/stratified_histograms.html, vignettes/IHWpaper/inst/doc/tdr_pvalue_rejection_thresholds.html, vignettes/IHWpaper/inst/doc/weights_vs_filtering.html vignetteTitles: "Various: BH explanation / visualization", "NMeth paper: Explaining tdr", "Various: Grenander Estimator as applied to IHW (vs ECDF)", "Stats paper: hQTL analysis with IHW-Benjamini-Yekutieli", "NMeth paper: IHW-Bonferroni simulations", "Various: Real data examples: 1-fold weight function", "NMeth paper: Real data examples", "NMeth paper: Simulation Figures", "NMeth paper: Stratified Histograms", "Various: tdr and pvalue rejection regions", "Various: Weights vs Independent Filtering" hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/IHWpaper/inst/doc/BH-explanation.R, vignettes/IHWpaper/inst/doc/explaining_tdr.R, vignettes/IHWpaper/inst/doc/grenander_vs_ecdf.R, vignettes/IHWpaper/inst/doc/hqtl_IHW_BY.R, vignettes/IHWpaper/inst/doc/IHW_bonferroni_simulations.R, vignettes/IHWpaper/inst/doc/real_data_examples_single_curve.R, vignettes/IHWpaper/inst/doc/real_data_examples.R, vignettes/IHWpaper/inst/doc/simulations_vignette.R, vignettes/IHWpaper/inst/doc/stratified_histograms.R, vignettes/IHWpaper/inst/doc/tdr_pvalue_rejection_thresholds.R, vignettes/IHWpaper/inst/doc/weights_vs_filtering.R dependencyCount: 107 Package: Illumina450ProbeVariants.db Version: 1.42.0 Depends: R (>= 3.0.1) License: GPL-3 MD5sum: a439949b2c954d589bc6e56ba1d13b0a NeedsCompilation: no Title: Annotation Package combining variant data from 1000 Genomes Project for Illumina HumanMethylation450 Bead Chip probes Description: Includes details on variants for each probe on the 450k bead chip for each of the four populations (Asian, American, African and European) biocViews: Homo_sapiens_Data, CancerData, ChipOnChipData, SNPData Author: Lee Butcher Maintainer: Tiffany Morris git_url: https://git.bioconductor.org/packages/Illumina450ProbeVariants.db git_branch: RELEASE_3_20 git_last_commit: 74df751 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Illumina450ProbeVariants.db_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: IlluminaDataTestFiles Version: 1.44.0 License: Artistic-2.0 MD5sum: b7ef98a177e46103b696291264e4238e NeedsCompilation: no Title: Illumina microarray files (IDAT) for testing Description: Example data for Illumina microarray output files, for testing purposes biocViews: MicroarrayData Author: Kasper Daniel Hansen, Mike L. Smith Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/IlluminaDataTestFiles git_branch: RELEASE_3_20 git_last_commit: d22256b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/IlluminaDataTestFiles_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: illuminaio dependencyCount: 0 Package: imcdatasets Version: 1.14.0 Depends: R (>= 4.4.0), SingleCellExperiment, SpatialExperiment, cytomapper, Imports: methods, utils, ExperimentHub, S4Vectors, DelayedArray, HDF5Array Suggests: BiocStyle, knitr, rmarkdown, markdown, testthat License: GPL-3 + file LICENSE MD5sum: c93de5b533351ab9d7414616e1d45d08 NeedsCompilation: no Title: Collection of publicly available imaging mass cytometry (IMC) datasets Description: The imcdatasets package provides access to publicly available IMC datasets. IMC is a technology that enables measurement of > 40 proteins from tissue sections. The generated images can be segmented to extract single cell data. Datasets typically consist of three elements: a SingleCellExperiment object containing single cell data, a CytoImageList object containing multichannel images and a CytoImageList object containing the cell masks that were used to extract the single cell data from the images. biocViews: ExperimentData, ExperimentHub, SingleCellData, SpatialData, Homo_sapiens_Data, ImmunoOncologyData, TechnologyData, PackageTypeData, ReproducibleResearch, Tissue Author: Nicolas Damond [aut, cre] (), Nils Eling [ctb] (), Fischer Jana [ctb] () Maintainer: Nicolas Damond URL: https://github.com/BodenmillerGroup/imcdatasets VignetteBuilder: knitr BugReports: https://github.com/BodenmillerGroup/imcdatasets/issues git_url: https://git.bioconductor.org/packages/imcdatasets git_branch: RELEASE_3_20 git_last_commit: 149e667 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/imcdatasets_1.14.0.tar.gz vignettes: vignettes/imcdatasets/inst/doc/Guidelines_Contribution_Dataset-formatting.html, vignettes/imcdatasets/inst/doc/imcdatasets.html vignetteTitles: "Contributing guidelines and datasets format", "Accessing IMC datasets" hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/imcdatasets/inst/doc/Guidelines_Contribution_Dataset-formatting.R, vignettes/imcdatasets/inst/doc/imcdatasets.R dependencyCount: 153 Package: ITALICSData Version: 2.44.0 Depends: R (>= 2.0.0) License: GPL MD5sum: 90f027ec991724ac688d30ceb7a0b103 NeedsCompilation: no Title: ITALICSData Description: Data needed to use the ITALICS package biocViews: ExperimentData, HapMap Author: Guillem Rigaill Maintainer: Guillem Rigaill URL: http://bioinfo.curie.fr git_url: https://git.bioconductor.org/packages/ITALICSData git_branch: RELEASE_3_20 git_last_commit: 425b0e2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ITALICSData_2.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ITALICS dependencyCount: 0 Package: Iyer517 Version: 1.48.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: b9822faff0be8722db82a5e8340b9873 NeedsCompilation: no Title: exprSets for Iyer, Eisen et all 1999 Science paper Description: representation of public Iyer data from http://genome-www.stanford.edu/serum/clusters.html biocViews: ExperimentData Author: Vishy Iyer Maintainer: Vince Carey git_url: https://git.bioconductor.org/packages/Iyer517 git_branch: RELEASE_3_20 git_last_commit: 384565b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Iyer517_1.48.0.tar.gz vignettes: vignettes/Iyer517/inst/doc/Iyer517.pdf vignetteTitles: Iyer517 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Iyer517/inst/doc/Iyer517.R dependencyCount: 6 Package: JASPAR2014 Version: 1.42.0 Depends: R (>= 3.0.1), methods, Biostrings (>= 2.29.19) License: GPL-2 MD5sum: f69c9d61904b3a4279535d61c3ef9597 NeedsCompilation: no Title: Data package for JASPAR Description: Data package for JASPAR 2014. To search this databases, please use the package TFBSTools. biocViews: ExperimentData, SequencingData Author: Ge Tan Maintainer: Ge Tan URL: http://jaspar.genereg.net/ git_url: https://git.bioconductor.org/packages/JASPAR2014 git_branch: RELEASE_3_20 git_last_commit: bb9e736 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/JASPAR2014_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MatrixRider, TFBSTools dependencyCount: 25 Package: JASPAR2016 Version: 1.34.0 Depends: R (>= 3.2.2), methods License: GPL-2 MD5sum: 15bad5cb473e295ea4c509c366f4568a NeedsCompilation: no Title: Data package for JASPAR 2016 Description: Data package for JASPAR 2016. To search this databases, please use the package TFBSTools (>= 1.8.1). biocViews: ExperimentData, MotifAnnotation, GeneRegulation Author: Ge Tan Maintainer: Ge Tan URL: http://jaspar.genereg.net/ git_url: https://git.bioconductor.org/packages/JASPAR2016 git_branch: RELEASE_3_20 git_last_commit: ddca8ac git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/JASPAR2016_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: TFBSTools, chromVAR, CAGEWorkflow dependencyCount: 1 Package: JohnsonKinaseData Version: 1.2.0 Imports: ExperimentHub, BiocParallel, checkmate, dplyr, stats, stringr, tidyr, purrr, utils Suggests: knitr, BiocStyle, ExperimentHubData, testthat (>= 3.0.0), rmarkdown License: MIT + file LICENSE MD5sum: 3da2bcf23b00fe365074130338eb347c NeedsCompilation: no Title: Kinase PWMs based on data published by Johnson et al. 2023 and Yaron-Barir et al. 2024 Description: The packages provides position specific weight matrices (PWMs) for 303 human serine/threonine and 93 tyrosine kinases originally published in Johnson et al. 2023 (doi:10.1038/s41586-022-05575-3) and Yaron-Barir et al. 2024 (doi:10.1038/s41586-024-07407-y). The package includes basic functionality to score user provided phosphosites. It also includes pre-computed PWM scores ("background scores") for a large collection of curated human phosphosites which can be used to rank PWM scores relative to the background scores ("percentile rank"). biocViews: ExperimentHub, Homo_sapiens_Data, Proteome Author: Florian Geier [aut, cre] () Maintainer: Florian Geier URL: https://github.com/fgeier/JohnsonKinaseData/ VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/JohnsonKinaseData git_url: https://git.bioconductor.org/packages/JohnsonKinaseData git_branch: RELEASE_3_20 git_last_commit: 3521496 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/JohnsonKinaseData_1.2.0.tar.gz vignettes: vignettes/JohnsonKinaseData/inst/doc/JohnsonKinaseData.html vignetteTitles: JohnsonKinaseData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/JohnsonKinaseData/inst/doc/JohnsonKinaseData.R dependencyCount: 78 Package: KEGGandMetacoreDzPathwaysGEO Version: 1.26.0 Depends: R (>= 2.15.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: bc64484970f91516654ad091857f000b NeedsCompilation: no Title: Disease Datasets from GEO Description: This is a collection of 18 data sets for which the phenotype is a disease with a corresponding pathway in either KEGG or metacore database.This collection of datasets were used as gold standard in comparing gene set analysis methods. biocViews: ExperimentData, GEO Author: Gaurav Bhatti Maintainer: Gaurav Bhatti git_url: https://git.bioconductor.org/packages/KEGGandMetacoreDzPathwaysGEO git_branch: RELEASE_3_20 git_last_commit: b66a817 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/KEGGandMetacoreDzPathwaysGEO_1.26.0.tar.gz vignettes: vignettes/KEGGandMetacoreDzPathwaysGEO/inst/doc/KEGGandMetacoreDzPathwaysGEO.pdf vignetteTitles: KEGGandMetacoreDzPathwaysGEO Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/KEGGandMetacoreDzPathwaysGEO/inst/doc/KEGGandMetacoreDzPathwaysGEO.R importsMe: GSEABenchmarkeR dependencyCount: 6 Package: KEGGdzPathwaysGEO Version: 1.44.0 Depends: R (>= 2.13.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: 2edbe2925b386b52a1fd7231d93d006b NeedsCompilation: no Title: KEGG Disease Datasets from GEO Description: This is a collection of 24 data sets for which the phenotype is a disease with a corresponding pathway in the KEGG database.This collection of datasets were used as gold standard in comparing gene set analysis methods by the PADOG package. biocViews: MicroarrayData, GEO, ExperimentData Author: Gaurav Bhatti, Adi L. Tarca Maintainer: Gaurav Bhatti git_url: https://git.bioconductor.org/packages/KEGGdzPathwaysGEO git_branch: RELEASE_3_20 git_last_commit: 960ca5b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/KEGGdzPathwaysGEO_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: PADOG importsMe: GSEABenchmarkeR dependencyCount: 6 Package: kidpack Version: 1.48.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5) License: GPL-2 MD5sum: 52f60c471d09226cba0e0938924b4bda NeedsCompilation: no Title: DKFZ kidney package Description: kidney microarray data biocViews: ExperimentData, CancerData, KidneyCancerData, MicroarrayData, ArrayExpress Author: Wolfgang Huber Maintainer: Wolfgang Huber URL: http://www.dkfz.de/mga git_url: https://git.bioconductor.org/packages/kidpack git_branch: RELEASE_3_20 git_last_commit: d003757 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/kidpack_1.48.0.tar.gz vignettes: vignettes/kidpack/inst/doc/kidpack.pdf vignetteTitles: kidpack - overview over the DKFZ kidney data package hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/kidpack/inst/doc/kidpack.R dependencyCount: 6 Package: KOdata Version: 1.32.0 Depends: R (>= 3.3.0) License: MIT + file LICENSE MD5sum: b31e70b88fa60ec9a64d94fe6b2b487e NeedsCompilation: no Title: LINCS Knock-Out Data Package Description: Contains consensus genomic signatures (CGS) for experimental cell-line specific gene knock-outs as well as baseline gene expression data for a subset of experimental cell-lines. Intended for use with package KEGGlincs. biocViews: ExpressionData, CancerData, Homo_sapiens_Data Author: Shana White Maintainer: Shana White git_url: https://git.bioconductor.org/packages/KOdata git_branch: RELEASE_3_20 git_last_commit: ef004e9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/KOdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: KEGGlincs dependencyCount: 0 Package: leeBamViews Version: 1.42.0 Depends: R (>= 2.15.0), Biobase, Rsamtools (>= 0.1.50), BSgenome Imports: GenomicRanges, GenomicAlignments, methods, S4Vectors, parallel, IRanges Suggests: biomaRt, org.Sc.sgd.db, edgeR License: Artistic 2.0 MD5sum: 80635485b599e011e632e0c9f82f6e88 NeedsCompilation: no Title: leeBamViews -- multiple yeast RNAseq samples excerpted from Lee 2009 Description: data from PMID 19096707; prototype for managing multiple NGS samples biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData, SNPData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/leeBamViews git_branch: RELEASE_3_20 git_last_commit: c223e2c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/leeBamViews_1.42.0.tar.gz vignettes: vignettes/leeBamViews/inst/doc/leeViews.pdf vignetteTitles: managing multiple NGS samples with bamViews hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/leeBamViews/inst/doc/leeViews.R suggestsMe: EDASeq dependencyCount: 59 Package: LegATo Version: 1.0.0 Depends: R (>= 4.4.0) Imports: animalcules, data.table, dplyr, ggplot2, magrittr, MultiAssayExperiment, plyr, rlang, S4Vectors, stringr, SummarizedExperiment, tibble, tidyr, tidyselect Suggests: BiocStyle, broom, broom.mixed, circlize, ComplexHeatmap, emmeans, geepack, ggalluvial, ggeffects, grDevices, knitr, lme4, lmerTest, methods, RColorBrewer, rmarkdown, spelling, TBSignatureProfiler, testthat (>= 3.0.0), TreeSummarizedExperiment, usethis, vegan License: MIT + file LICENSE MD5sum: aef951790167d23ba254573540b628bd NeedsCompilation: no Title: LegATo: Longitudinal mEtaGenomic Analysis Toolkit Description: LegATo is a suite of open-source software tools for longitudinal microbiome analysis. It is extendable to several different study forms with optimal ease-of-use for researchers. Microbiome time-series data presents distinct challenges including complex covariate dependencies and variety of longitudinal study designs. This toolkit will allow researchers to determine which microbial taxa are affected over time by perturbations such as onset of disease or lifestyle choices, and to predict the effects of these perturbations over time, including changes in composition or stability of commensal bacteria. biocViews: MicrobiomeData, ReproducibleResearch, SequencingData Author: Aubrey Odom [aut, cre] (), Yilong Zhang [ctb] (Author of NMIT functions), Jared Pincus [csl] (, Naming consultant of package), Jordan Pincus [art] (Artist of LegATo icon) Maintainer: Aubrey Odom URL: https://wejlab.github.io/LegATo-docs/ VignetteBuilder: knitr BugReports: https://github.com/wejlab/LegATo/issues git_url: https://git.bioconductor.org/packages/LegATo git_branch: RELEASE_3_20 git_last_commit: a6dcb95 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/LegATo_1.0.0.tar.gz vignettes: vignettes/LegATo/inst/doc/LegATo_vignette.html vignetteTitles: LegATo Tutorial hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/LegATo/inst/doc/LegATo_vignette.R dependencyCount: 194 Package: leukemiasEset Version: 1.42.0 Depends: R (>= 2.10.1), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: 5adc5dcc59cbe7e760ae276724f98fad NeedsCompilation: no Title: Leukemia's microarray gene expression data (expressionSet). Description: Expressionset containing gene expresion data from 60 bone marrow samples of patients with one of the four main types of leukemia (ALL, AML, CLL, CML) or non-leukemia. biocViews: Tissue, Genome, Homo_sapiens_Data, CancerData, LeukemiaCancerData, MicroarrayData, ChipOnChipData, TissueMicroarrayData, GEO Author: Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain. Maintainer: Sara Aibar git_url: https://git.bioconductor.org/packages/leukemiasEset git_branch: RELEASE_3_20 git_last_commit: 95ad6a3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/leukemiasEset_1.42.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: geNetClassifier, multiclassPairs dependencyCount: 6 Package: LiebermanAidenHiC2009 Version: 0.44.0 Depends: KernSmooth, IRanges License: LGPL MD5sum: 66667bb8dda5d64584a6fcb82c893d2d NeedsCompilation: no Title: Selected data from the HiC paper of E. Lieberman-Aiden et al. in Science (2009) Description: This package provides data that were presented in the article "Comprehensive mapping of long-range interactions reveals folding principles of the human genome", Science 2009 Oct 9;326(5950):289-93. PMID: 19815776 biocViews: ExperimentData, Genome, SequencingData, DNASeqData, ChIPSeqData, miRNAData, SmallRNAData, ChipOnChipData, GEO, NCI, ENCODE Author: Wolfgang Huber, Felix Klein Maintainer: Felix Klein git_url: https://git.bioconductor.org/packages/LiebermanAidenHiC2009 git_branch: RELEASE_3_20 git_last_commit: 547eb14 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/LiebermanAidenHiC2009_0.44.0.tar.gz vignettes: vignettes/LiebermanAidenHiC2009/inst/doc/LiebermanAidenHiC2009.pdf vignetteTitles: Exploration of HiC data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/LiebermanAidenHiC2009/inst/doc/LiebermanAidenHiC2009.R dependencyCount: 9 Package: ListerEtAlBSseq Version: 1.38.0 Depends: R (>= 3.1.1), methylPipe Suggests: BSgenome.Hsapiens.UCSC.hg18 License: Artistic 2.0 MD5sum: c985f67b2cfdb549d614ae350ac50029 NeedsCompilation: no Title: BS-seq data of H1 and IMR90 cell line excerpted from Lister et al. 2009 Description: Base resolution bisulfite sequencing data of Human DNA methylomes biocViews: ExperimentData, Homo_sapiens_Data, SequencingData Author: Mattia Pelizzola [aut], Kamal Kishore [aut], Mattia Furlan [ctb, cre] Maintainer: Mattia Furlan git_url: https://git.bioconductor.org/packages/ListerEtAlBSseq git_branch: RELEASE_3_20 git_last_commit: 78091d8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ListerEtAlBSseq_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 165 Package: LRcellTypeMarkers Version: 1.14.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: LRcell, BiocStyle, knitr, rmarkdown, roxygen2, testthat License: MIT + file LICENSE MD5sum: 1acc45444ff327ed8d97526b019d5369 NeedsCompilation: no Title: Marker gene information for LRcell R Bioconductor package Description: This is an external ExperimentData package for LRcell. This data package contains the gene enrichment scores calculated from scRNA-seq dataset which indicates the gene enrichment of each cell type in certain brain region. LRcell package is used to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. For more details, please visit: https://github.com/marvinquiet/LRcell. biocViews: ExperimentData, ExperimentHub, RNASeqData, SingleCellData, ExpressionData, PackageTypeData Author: Wenjing Ma [cre, aut] () Maintainer: Wenjing Ma VignetteBuilder: knitr BugReports: https://github.com/marvinquiet/LRcellTypeMarkers/issues git_url: https://git.bioconductor.org/packages/LRcellTypeMarkers git_branch: RELEASE_3_20 git_last_commit: dfe4cdb git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/LRcellTypeMarkers_1.14.0.tar.gz vignettes: vignettes/LRcellTypeMarkers/inst/doc/LRcellTypeMarkers-vignette.html vignetteTitles: LRcellTypeMarkers: Marker gene information for LRcell R Bioconductor package using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/LRcellTypeMarkers/inst/doc/LRcellTypeMarkers-vignette.R suggestsMe: LRcell dependencyCount: 67 Package: lumiBarnes Version: 1.46.0 Depends: R (>= 2.0), Biobase (>= 2.5.5), lumi (>= 1.1.0) License: LGPL MD5sum: a91894c192736dabcdd81493fd693d6a NeedsCompilation: no Title: Barnes Benchmark Illumina Tissues Titration Data Description: The Barnes benchmark dataset can be used to evaluate the algorithms for Illumina microarrays. It measured a titration series of two human tissues, blood and placenta, and includes six samples with the titration ratio of blood and placenta as 100:0, 95:5, 75:25, 50:50, 25:75 and 0:100. The samples were hybridized on HumanRef-8 BeadChip (Illumina, Inc) in duplicate. The data is loaded as an LumiBatch Object (see documents in the lumi package). biocViews: ExperimentData, Tissue, MicroarrayData, ChipOnChipData Author: Pan Du Maintainer: Pan Du git_url: https://git.bioconductor.org/packages/lumiBarnes git_branch: RELEASE_3_20 git_last_commit: 216b416 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/lumiBarnes_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout, lumi dependencyCount: 166 Package: LungCancerACvsSCCGEO Version: 1.42.0 Depends: R (>= 2.15.0) License: GPL-2 MD5sum: e6408dab179c36800a5a9f501c20b6f5 NeedsCompilation: no Title: A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files. Description: This package contains 30 Affymetrix CEL files for 7 Adenocarcinoma (AC) and 8 Squamous cell carcinoma (SCC) lung cancer samples taken at random from 3 GEO datasets (GSE10245, GSE18842 and GSE2109) and other 15 samples from a dataset produced by the organizers of the IMPROVER Diagnostic Signature Challenge available from GEO (GSE43580). biocViews: CancerData, LungCancerData, MicroarrayData, GEO Author: Adi Laurentiu Tarca Maintainer: Adi Laurentiu Tarca URL: http://bioinformaticsprb.med.wayne.edu/ git_url: https://git.bioconductor.org/packages/LungCancerACvsSCCGEO git_branch: RELEASE_3_20 git_last_commit: 93d82e3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/LungCancerACvsSCCGEO_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: LungCancerLines Version: 0.44.0 Imports: Rsamtools License: Artistic-2.0 MD5sum: cbedb747be0dc1ed37072304b42e29cb NeedsCompilation: no Title: Reads from Two Lung Cancer Cell Lines Description: Reads from an RNA-seq experiment between two lung cancer cell lines: H1993 (met) and H2073 (primary). The reads are stored as Fastq files and are meant for use with the TP53Genome object in the gmapR package. biocViews: ExperimentData, Genome, CancerData, LungCancerData, RNASeqData Author: Cory Barr, Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/LungCancerLines git_branch: RELEASE_3_20 git_last_commit: 61681ec git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/LungCancerLines_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: VariantTools, gmapR dependencyCount: 39 Package: lungExpression Version: 0.44.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: 51b928a75488636d40016a51e9fe0f40 NeedsCompilation: no Title: ExpressionSets for Parmigiani et al., 2004 Clinical Cancer Research paper Description: Data from three large lung cancer studies provided as ExpressionSets biocViews: ExperimentData, CancerData, LungCancerData Author: Robert Scharpf , Simens Zhong , Giovanni Parmigiani Maintainer: Robert Scharpf git_url: https://git.bioconductor.org/packages/lungExpression git_branch: RELEASE_3_20 git_last_commit: b6496e0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/lungExpression_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: globaltest dependencyCount: 6 Package: lydata Version: 1.32.0 License: MIT + file LICENSE MD5sum: 1f492ef0a9ea66a511aef7b9c0fc8ce8 NeedsCompilation: no Title: Example Dataset for crossmeta Package Description: Raw data downloaded from GEO for the compound LY294002. Raw data is from multiple platforms from Affymetrix and Illumina. This data is used to illustrate the cross-platform meta-analysis of microarray data using the crossmeta package. biocViews: ExperimentData, MicroarrayData Author: Alex Pickering Maintainer: Alex Pickering git_url: https://git.bioconductor.org/packages/lydata git_branch: RELEASE_3_20 git_last_commit: 429c86a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/lydata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: ccmap dependencyCount: 0 Package: M3DExampleData Version: 1.32.0 Depends: R (>= 3.3) License: GPL (>=2) MD5sum: b277ae479790377a52b91adb72f9f916 NeedsCompilation: no Title: M3Drop Example Data Description: Example data for M3Drop package. biocViews: Mus_musculus_Data, RNASeqData, ExpressionData, GEO, Tissue, ExperimentData Author: Tallulah Andrews Maintainer: Tallulah Andrews git_url: https://git.bioconductor.org/packages/M3DExampleData git_branch: RELEASE_3_20 git_last_commit: f954e50 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/M3DExampleData_1.32.0.tar.gz hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: M3Drop, celda dependencyCount: 0 Package: macrophage Version: 1.22.0 Depends: R (>= 3.5.0) Suggests: knitr, markdown License: GPL (>= 2) MD5sum: 0782d719de282a1fb033344185c2d3ff NeedsCompilation: no Title: Human macrophage immune response Description: This package provides the output of running Salmon on a set of 24 RNA-seq samples from Alasoo, et al. "Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response", published in Nature Genetics, January 2018. For details on version numbers and how the samples were processed see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/macrophage git_branch: RELEASE_3_20 git_last_commit: 92b58be git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/macrophage_1.22.0.tar.gz vignettes: vignettes/macrophage/inst/doc/macrophage.html vignetteTitles: Salmon quantifications for human macrophage immune response experiment hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/macrophage/inst/doc/macrophage.R suggestsMe: GeDi, GeneTonic, fishpond, mosdef, quantiseqr, fluentGenomics dependencyCount: 0 Package: MACSdata Version: 1.14.0 License: file LICENSE MD5sum: ad077b7b288ff5fec2b011453af70aad NeedsCompilation: no Title: Test datasets for the MACSr package Description: Test datasets from the MACS3 test examples are use in the examples of the `MACSr` package. All 9 datasets are uploaded to the `ExperimentHub`. The original data can be found at: https://github.com/macs3-project/MACS/. biocViews: ExperimentHub, ExperimentData, ChIPSeqData Author: Qiang Hu [aut, cre] Maintainer: Qiang Hu git_url: https://git.bioconductor.org/packages/MACSdata git_branch: RELEASE_3_20 git_last_commit: 498e6d7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MACSdata_1.14.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: MACSr dependencyCount: 0 Package: mammaPrintData Version: 1.42.0 Depends: R (>= 2.13.0) Suggests: Biobase, readxl, limma License: Artistic-2.0 MD5sum: 698b5dfa798c98b7d8478b23fbfeb560 NeedsCompilation: no Title: RGLists from the Glas and Buyse breast cancer studies Description: Gene expression data for the two breast cancer cohorts published by Glas and Buyse in 2006. This cohorts were used to implement and validate the mammaPrint breast cancer test. biocViews: ExperimentData, ExpressionData, CancerData, BreastCancerData, MicroarrayData, TwoChannelData Author: Luigi Marchionni Maintainer: Luigi Marchionni URL: http://luigimarchionni.org/breastTSP.html git_url: https://git.bioconductor.org/packages/mammaPrintData git_branch: RELEASE_3_20 git_last_commit: 9da05bf git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mammaPrintData_1.42.0.tar.gz vignettes: vignettes/mammaPrintData/inst/doc/mammaPrintData.pdf vignetteTitles: Working with the mammaPrintData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mammaPrintData/inst/doc/mammaPrintData.R dependencyCount: 0 Package: maqcExpression4plex Version: 1.50.0 Suggests: oligo, pdInfoBuilder License: GPL MD5sum: 898e52d569cdc046e620e674ece0104f NeedsCompilation: no Title: Sample Expression Data - MAQC / HG18 - NimbleGen Description: Data from human (HG18) 4plex NimbleGen array. It has 24k genes with 3 60mer probes per gene. biocViews: ExperimentData, CancerData Author: NimbleGen Systems Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/maqcExpression4plex git_branch: RELEASE_3_20 git_last_commit: a68ada7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/maqcExpression4plex_1.50.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: MAQCsubset Version: 1.44.0 Depends: R (>= 2.10.0), affy (>= 1.23.4), Biobase (>= 2.5.5), lumi, methods Suggests: genefilter, codelink License: Artistic-2.0 MD5sum: c65a03cafbb8d0d6a644a491d0516f7a NeedsCompilation: no Title: Experimental Data Package: MAQCsubset Description: Data Package automatically created on Sun Nov 19 15:59:29 2006. biocViews: ExperimentData, MicroarrayData, GEO Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/MAQCsubset git_branch: RELEASE_3_20 git_last_commit: 7cb745a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MAQCsubset_1.44.0.tar.gz vignettes: vignettes/MAQCsubset/inst/doc/maqcNotes.pdf vignetteTitles: MAQC notes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MAQCsubset/inst/doc/maqcNotes.R suggestsMe: arrayMvout dependencyCount: 166 Package: marinerData Version: 1.6.0 Imports: utils, ExperimentHub Suggests: knitr, rmarkdown, ExperimentHubData, testthat (>= 3.0.0) License: GPL-3 MD5sum: a107161ab0d78f794f5088aa17e219bc NeedsCompilation: no Title: ExperimentHub data for the mariner package Description: Subsampled Hi-C in HEK cells expressing the NHA9 fusion with an F to S mutated IDR ("FS") or without any mutations to the IDR ("Wildtype" or "WT"). These files are used for testing mariner functions and some examples. biocViews: ExperimentHub, ExperimentData, SequencingData Author: Eric Davis [aut, cre] () Maintainer: Eric Davis VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/marinerData git_url: https://git.bioconductor.org/packages/marinerData git_branch: RELEASE_3_20 git_last_commit: 2006cc0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/marinerData_1.6.0.tar.gz vignettes: vignettes/marinerData/inst/doc/marinerData.html vignetteTitles: marinerData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/marinerData/inst/doc/marinerData.R suggestsMe: mariner dependencyCount: 67 Package: mCSEAdata Version: 1.26.0 Depends: R (>= 3.5) Imports: GenomicRanges Suggests: BiocStyle, knitr, rmarkdown License: GPL-2 MD5sum: 74984aaa639100dac5d0a4ddbc2fa08c NeedsCompilation: no Title: Data package for mCSEA package Description: Data objects necessary to some mCSEA package functions. There are also example data objects to illustrate mCSEA package functionality. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData, ExperimentData Author: Jordi Martorell Marugán Maintainer: Jordi Martorell Marugán VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mCSEAdata git_branch: RELEASE_3_20 git_last_commit: 9b703ba git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mCSEAdata_1.26.0.tar.gz vignettes: vignettes/mCSEAdata/inst/doc/mCSEAdata.pdf vignetteTitles: Data for mCSEA package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mCSEAdata/inst/doc/mCSEAdata.R dependencyCount: 23 Package: mcsurvdata Version: 1.24.0 Depends: R (>= 3.5), ExperimentHub Imports: AnnotationHub, Biobase Suggests: BiocStyle, knitr License: GPL (>=2) MD5sum: 9195686975c6647629ceed2276471756 NeedsCompilation: no Title: Meta cohort survival data Description: This package stores two merged expressionSet objects that contain the gene expression profile and clinical information of -a- six breast cancer cohorts and -b- four colorectal cancer cohorts. Breast cancer data are employed in the vignette of the hrunbiased package for survival analysis of gene signatures. biocViews: ExperimentData, Homo_sapiens_Data, GEO, MicroarrayData Author: Adria Caballe Mestres [aut, cre], Antoni Berenguer Llergo [aut], Camille Stephan-Otto Attolini [aut] Maintainer: Adria Caballe Mestres URL: https://github.com/adricaba/mcsurvdata VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mcsurvdata git_branch: RELEASE_3_20 git_last_commit: 232f9e3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mcsurvdata_1.24.0.tar.gz vignettes: vignettes/mcsurvdata/inst/doc/mcsurvdata.html vignetteTitles: analysis vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mcsurvdata/inst/doc/mcsurvdata.R dependencyCount: 67 Package: MEDIPSData Version: 1.42.0 Depends: R (>= 3.5.0) License: GPL (>= 2) MD5sum: 7c0968e7c9e258a93e85879626e3e08a NeedsCompilation: no Title: Example data for MEDIPS and QSEA packages Description: Example data for MEDIPS and QSEA packages, consisting of chromosome 22 MeDIP and control/Input sample data. Additionally, the package contains MeDIP seq data from 3 NSCLC samples and adjacent normal tissue (chr 20-22). All data has been aligned to human genome hg19. biocViews: ExperimentData, Genome, SequencingData Author: Lukas Chavez Maintainer: Lukas Chavez git_url: https://git.bioconductor.org/packages/MEDIPSData git_branch: RELEASE_3_20 git_last_commit: 1553c0e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MEDIPSData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MEDIPS, qsea dependencyCount: 0 Package: MEEBOdata Version: 1.44.0 License: LGPL MD5sum: 85b931867f6b8761f474e911d7632f86 NeedsCompilation: no Title: MEEBO set and MEEBO controls. Description: R objects describing the MEEBO set. biocViews: ExperimentData Author: Agnes Paquet Maintainer: Agnes Paquet URL: http://alizadehlab.stanford.edu/ http://arrays.ucsf.edu/ git_url: https://git.bioconductor.org/packages/MEEBOdata git_branch: RELEASE_3_20 git_last_commit: c026ef5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MEEBOdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: MerfishData Version: 1.8.0 Depends: R (>= 4.2.0), EBImage, SpatialExperiment Imports: grDevices, AnnotationHub, BumpyMatrix, ExperimentHub, S4Vectors, SingleCellExperiment, SummarizedExperiment, HDF5Array Suggests: grid, ggplot2, ggpubr, knitr, rmarkdown, scater, scattermore, terra, testthat, BiocStyle, DropletUtils License: Artistic-2.0 MD5sum: 86f043a416a009f9fd1ebb30f8a83360 NeedsCompilation: no Title: Collection of public MERFISH datasets Description: MerfishData is an ExperimentHub package that serves publicly available datasets obtained with Multiplexed Error-Robust Fluorescence in situ Hybridization (MERFISH). MERFISH is a massively multiplexed single-molecule imaging technology capable of simultaneously measuring the copy number and spatial distribution of hundreds to tens of thousands of RNA species in individual cells. The scope of the package is to provide MERFISH data for benchmarking and analysis. biocViews: ExperimentHub, ExpressionData, HighThroughputImagingData, Mus_musculus_Data, SingleCellData, SpatialData Author: Ludwig Geistlinger [aut, cre] (), Tyrone Lee [ctb], Helena Crowell [ctb] (), Daniela Corbetta [ctb], Jeffrey Moffitt [aut], Robert Gentleman [aut] Maintainer: Ludwig Geistlinger URL: https://github.com/ccb-hms/MerfishData VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/MerfishData/issues git_url: https://git.bioconductor.org/packages/MerfishData git_branch: RELEASE_3_20 git_last_commit: 104cb33 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/MerfishData_1.8.0.tar.gz vignettes: vignettes/MerfishData/inst/doc/Merfish_mouse_colon_ibd.html, vignettes/MerfishData/inst/doc/Merfish_mouse_hypothalamus.html, vignettes/MerfishData/inst/doc/Merfish_mouse_ileum.html vignetteTitles: Mouse colon ibd, Mouse hypothalamus, Mouse ileum hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MerfishData/inst/doc/Merfish_mouse_colon_ibd.R, vignettes/MerfishData/inst/doc/Merfish_mouse_hypothalamus.R, vignettes/MerfishData/inst/doc/Merfish_mouse_ileum.R dependencyCount: 110 Package: MetaGxBreast Version: 1.26.0 Depends: R (>= 3.6.0), Biobase, AnnotationHub, ExperimentHub Imports: stats, lattice, impute, SummarizedExperiment Suggests: testthat, xtable, tinytex License: Apache License (>= 2) MD5sum: 6022b5352915c1777c7c600ffc2cc86c NeedsCompilation: no Title: Transcriptomic Breast Cancer Datasets Description: A collection of Breast Cancer Transcriptomic Datasets that are part of the MetaGxData package compendium. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData Author: Michael Zon [aut], Deena M.A. Gendoo [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains git_url: https://git.bioconductor.org/packages/MetaGxBreast git_branch: RELEASE_3_20 git_last_commit: e76ff88 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MetaGxBreast_1.26.0.tar.gz vignettes: vignettes/MetaGxBreast/inst/doc/MetaGxBreast.pdf vignetteTitles: MetaGxBreast: a package for breast cancer gene expression analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxBreast/inst/doc/MetaGxBreast.R dependencyCount: 79 Package: MetaGxOvarian Version: 1.26.0 Depends: Biobase, AnnotationHub, ExperimentHub, SummarizedExperiment, R (>= 3.6.0) Imports: stats, lattice, impute Suggests: testthat, xtable, rmarkdown, knitr, BiocStyle, markdown License: Artistic-2.0 MD5sum: aa02381feac47d0d6a29bfa33249caf1 NeedsCompilation: no Title: Transcriptomic Ovarian Cancer Datasets Description: A collection of Ovarian Cancer Transcriptomic Datasets that are part of the MetaGxData package compendium. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData Author: Michael Zon [aut], Vandana Sandhu [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MetaGxOvarian git_branch: RELEASE_3_20 git_last_commit: 01219ab git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MetaGxOvarian_1.26.0.tar.gz vignettes: vignettes/MetaGxOvarian/inst/doc/MetaGxOvarian.html vignetteTitles: MetaGxOvarian: A Package for Ovarian Cancer Gene Expression Analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxOvarian/inst/doc/MetaGxOvarian.R dependencyCount: 79 Package: MetaGxPancreas Version: 1.26.0 Depends: SummarizedExperiment, ExperimentHub, R (>= 3.6.0) Imports: stats, impute, S4Vectors, AnnotationHub Suggests: testthat, knitr, BiocStyle, rmarkdown, markdown License: Artistic-2.0 MD5sum: a662c1634949436c2fe455a8d59abb07 NeedsCompilation: no Title: Transcriptomic Pancreatic Cancer Datasets Description: A collection of pancreatic Cancer transcriptomic datasets that are part of the MetaGxData package compendium. This package contains multiple pancreas cancer datasets that have been downloaded from various resources and turned into SummarizedExperiment objects. The details of how the authors normalized the data can be found in the experiment data section of the objects. Additionally, the location the data was obtained from can be found in the url variables of the experiment data portion of each SE. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData, SequencingData Author: Michael Zon [aut], Vandana Sandhu [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MetaGxPancreas git_branch: RELEASE_3_20 git_last_commit: 9b0a357 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MetaGxPancreas_1.26.0.tar.gz vignettes: vignettes/MetaGxPancreas/inst/doc/MetaGxPancreas.html vignetteTitles: MetaGxPancreas: A Package for Pancreatic Cancer Gene Expression Analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxPancreas/inst/doc/MetaGxPancreas.R dependencyCount: 79 Package: metaMSdata Version: 1.42.0 License: GPL (>= 2) MD5sum: a7a51ec5456a74897baff56060a85fae NeedsCompilation: no Title: Example CDF data for the metaMS package Description: Example CDF data for the metaMS package biocViews: ExperimentData, MassSpectrometryData Author: Ron Wehrens [aut, cre], Pietro Franceschi [aut], Georg Weingart [ctb] Maintainer: Yann Guitton git_url: https://git.bioconductor.org/packages/metaMSdata git_branch: RELEASE_3_20 git_last_commit: 9cd9238 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/metaMSdata_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CluMSID, metaMS dependencyCount: 0 Package: MetaScope Version: 1.5.4 Depends: R (>= 4.3.0) Imports: BiocFileCache, Biostrings, data.table, dplyr, ggplot2, magrittr, Matrix, MultiAssayExperiment, Rbowtie2, readr, rlang, Rsamtools, S4Vectors, stringr, SummarizedExperiment, taxize, tibble, tidyr, tools Suggests: animalcules, BiocStyle, biomformat, GenomicRanges, IRanges, knitr, lintr, plyr, R.utils, rmarkdown, Rsubread, spelling, sys, taxonomizr, testthat, usethis Enhances: BiocParallel License: GPL (>= 3) MD5sum: d3f60d78fb0987fa182b408d6a83fe8b NeedsCompilation: no Title: Tools and functions for preprocessing 16S and metagenomic sequencing microbiome data Description: This package contains tools and methods for preprocessing microbiome data. Functionality includes library generation, demultiplexing, alignment, and microbe identification. It is in part an R translation of the PathoScope 2.0 pipeline. biocViews: MicrobiomeData, ReproducibleResearch, SequencingData Author: Aubrey Odom [aut, cre] (), Rahul Varki [aut], W. Evan Johnson [aut] (), Howard Fan [ctb] Maintainer: Aubrey Odom URL: https://github.com/wejlab/metascope https://wejlab.github.io/metascope-docs/ VignetteBuilder: knitr BugReports: https://github.com/wejlab/MetaScope/issues git_url: https://git.bioconductor.org/packages/MetaScope git_branch: devel git_last_commit: 0cc9c5f git_last_commit_date: 2024-09-17 Date/Publication: 2024-10-01 source.ver: src/contrib/MetaScope_1.5.4.tar.gz vignettes: vignettes/MetaScope/inst/doc/MetaScope_vignette.html, vignettes/MetaScope/inst/doc/MetaScopeTutorial.html vignetteTitles: Introdution to MetaScope, Introdution to MetaScope hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaScope/inst/doc/MetaScope_vignette.R, vignettes/MetaScope/inst/doc/MetaScopeTutorial.R dependencyCount: 107 Package: MethylAidData Version: 1.38.0 Depends: MethylAid, R (>= 3.2) Suggests: BiocParallel, BiocStyle, knitr, minfiData, minfiDataEPIC License: GPL (>= 2) MD5sum: 8790cb85810d6013ce273669a726c75e NeedsCompilation: no Title: MethylAid-summarized data for 2800 Illumina 450k array samples and 2620 EPIC array samples Description: A data package containing summarized Illumina 450k array data on 2800 samples and summarized EPIC data for 2620 samples. The data can be use as a background data set in the interactive application. biocViews: ExperimentData, TechnologyData, MicroarrayData, MethylationArrayData Author: Davy Cats, Tyler J. Gorrie-Stone, Bastiaan T. Heijmans, John W. Holloway, BIOS Consortium, Maarten van Iterson, Faisal I. Rezwam, Leonard Schalkwyk Maintainer: M. van Iterson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MethylAidData git_branch: RELEASE_3_20 git_last_commit: 00000be git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MethylAidData_1.38.0.tar.gz vignettes: vignettes/MethylAidData/inst/doc/MethylAidData.pdf vignetteTitles: MethylAid-summarized data on 2800 Illumina 450k array samples hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MethylAidData/inst/doc/MethylAidData.R suggestsMe: MethylAid dependencyCount: 171 Package: methylclockData Version: 1.14.0 Imports: ExperimentHubData, ExperimentHub, utils Suggests: knitr, BiocStyle, rmarkdown License: MIT + file LICENSE MD5sum: ad071093db338056dbd6cf1951640286 NeedsCompilation: no Title: Data for methylclock package Description: Collection of 9 datasets, andrews and bakulski cord blood, blood gse35069, blood gse35069 chen, blood gse35069 complete, combined cord blood, cord bloo d gse68456, gervin and lyle cord blood, guintivano dlpfc and saliva gse48472". Data downloaded from [meffil](https://github.com/perishky/meffil/). Data used to estimate cell counts using Extrinsic epigenetic age acceleration (EEAA) method Collection of 12 datasets to use with MethylClock package to estimate chronological and gestational DNA methylationwith estimators to use wit different methylation clocks biocViews: SpecimenSource, ExperimentHub, Tissue, OrganismData, Homo_sapiens_Data Author: Juan R. Gonzalez [aut], Dolors Pelegri-Siso [aut, cre] Maintainer: Dolors Pelegri-Siso URL: https://github.com/isglobal-brge/methylclockData VignetteBuilder: knitr BugReports: https://github.com/isglobal-brge/methylclockData/issues git_url: https://git.bioconductor.org/packages/methylclockData git_branch: RELEASE_3_20 git_last_commit: 65e8c33 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/methylclockData_1.14.0.tar.gz vignettes: vignettes/methylclockData/inst/doc/methylcockData.html vignetteTitles: References for metilclock using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/methylclockData/inst/doc/methylcockData.R dependsOnMe: methylclock dependencyCount: 126 Package: MethylSeqData Version: 1.16.0 Depends: SummarizedExperiment Imports: ExperimentHub, HDF5Array, rhdf5, GenomeInfoDb, S4Vectors, GenomicRanges, stats, IRanges, utils Suggests: BiocFileCache, BiocStyle, data.table, knitr, rmarkdown License: CC0 MD5sum: 16f7382e59811b9cead8c141c39d0b5f NeedsCompilation: no Title: Collection of Public DNA Methylation Sequencing Datasets Description: Base-level (i.e. cytosine-level) counts for a collection of public bisulfite-seq datasets (e.g., WGBS and RRBS), provided as SummarizedExperiment objects with sample- and base-level metadata. biocViews: ExperimentHub, ExperimentData, SequencingData, Homo_sapiens_Data, Mus_musculus_Data, MethylSeqData Author: Peter Hickey [aut, cre] Maintainer: Peter Hickey VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MethylSeqData git_branch: RELEASE_3_20 git_last_commit: b093883 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MethylSeqData_1.16.0.tar.gz vignettes: vignettes/MethylSeqData/inst/doc/MethylSeqData.html vignetteTitles: User's Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MethylSeqData/inst/doc/MethylSeqData.R dependencyCount: 82 Package: MicrobiomeBenchmarkData Version: 1.8.0 Depends: R (>= 4.2), SummarizedExperiment, TreeSummarizedExperiment Imports: BiocFileCache, tools, S4Vectors, ape, utils Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0), mia, ggplot2, tidyr, dplyr, magrittr, tibble, purrr License: Artistic-2.0 MD5sum: f0c2276607641ceeab25744f8b83fad9 NeedsCompilation: no Title: Datasets for benchmarking in microbiome research Description: The MicrobiomeBenchmarkData package provides functionality to access microbiome datasets suitable for benchmarking. These datasets have some biological truth, which allows to have expected results for comparison. The datasets come from various published sources and are provided as TreeSummarizedExperiment objects. Currently, only datasets suitable for benchmarking differential abundance methods are available. biocViews: ExperimentData, MicrobiomeData, ReproducibleResearch, SequencingData Author: Samuel Gamboa [aut, cre] (), Levi Waldron [aut] (), Marcel Ramos [ctb] Maintainer: Samuel Gamboa URL: https://github.com/waldronlab/MicrobiomeBenchmarkData, http://waldronlab.io/MicrobiomeBenchmarkData/ VignetteBuilder: knitr BugReports: https://github.com/waldronlab/MicrobiomeBenchmarkData/issues git_url: https://git.bioconductor.org/packages/MicrobiomeBenchmarkData git_branch: RELEASE_3_20 git_last_commit: d9e0415 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MicrobiomeBenchmarkData_1.8.0.tar.gz vignettes: vignettes/MicrobiomeBenchmarkData/inst/doc/datasets.html, vignettes/MicrobiomeBenchmarkData/inst/doc/MicrobiomeBenchmarkData.html, vignettes/MicrobiomeBenchmarkData/inst/doc/recalibrare_spikein_data.html vignetteTitles: Datasets in MicrobiomeBenchmarkData, MicrobiomeBenchmarkData, Recalibration of the Stammler_2016_16S_spikein dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MicrobiomeBenchmarkData/inst/doc/datasets.R, vignettes/MicrobiomeBenchmarkData/inst/doc/MicrobiomeBenchmarkData.R, vignettes/MicrobiomeBenchmarkData/inst/doc/recalibrare_spikein_data.R suggestsMe: bugphyzz dependencyCount: 89 Package: microbiomeDataSets Version: 1.14.0 Depends: R (>= 4.1), SummarizedExperiment, TreeSummarizedExperiment, MultiAssayExperiment Imports: methods, utils, BiocGenerics, ExperimentHub, Biostrings, ape Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, testthat License: CC0 MD5sum: df3b92fa8bb2edd4cb6b98d4d6215542 NeedsCompilation: no Title: Experiment Hub based microbiome datasets Description: microbiomeDataSets is a collection of microbiome datasets loaded from Bioconductor'S ExperimentHub infrastructure. The datasets serve as reference for workflows and vignettes published adjacent to the microbiome analysis tools on Bioconductor. Additional datasets can be added overtime and additions from authors are welcome. biocViews: ExperimentHub, ExperimentData, MicrobiomeData, SequencingData Author: Leo Lahti [cre, aut] (), Felix G.M. Ernst [aut] (), Sudarshan Shetty [aut] (), Chouaib Benchraka [ctb] (), Yagmur Simsek [ctb] Maintainer: Leo Lahti VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/microbiomeDataSets git_branch: RELEASE_3_20 git_last_commit: 6c8760b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/microbiomeDataSets_1.14.0.tar.gz vignettes: vignettes/microbiomeDataSets/inst/doc/microbiomeDataSets.html vignetteTitles: microbiomeDataSets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/microbiomeDataSets/inst/doc/microbiomeDataSets.R suggestsMe: mia dependencyCount: 100 Package: microRNAome Version: 1.28.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocGenerics, RUnit License: GPL (>= 2) MD5sum: e1eeee6effefa7c38c24ac14ccdbb9c1 NeedsCompilation: no Title: SummarizedExperiment for the microRNAome project Description: This package provides a SummarizedExperiment object of read counts for microRNAs across tissues, cell-types, and cancer cell-lines. The read count matrix was prepared and provided by the author of the study: Towards the human cellular microRNAome. biocViews: ExperimentData, CellCulture, CancerData, SequencingData, RNASeqData, miRNAData Author: Matthew N. McCall , Marc K. Halushka , Arun H. Patil Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/microRNAome git_branch: RELEASE_3_20 git_last_commit: 3766e64 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/microRNAome_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 36 Package: minfiData Version: 0.52.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylation450kmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19 License: Artistic-2.0 MD5sum: 8a4cef6c4c950cfa8c6484c289a084c1 NeedsCompilation: no Title: Example data for the Illumina Methylation 450k array Description: Data from 6 samples across 2 groups from 450k methylation arrays. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Kasper Daniel Hansen, Martin Aryee, Winston Timp Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/minfiData git_branch: RELEASE_3_20 git_last_commit: 003ea35 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/minfiData_0.52.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: methylationArrayAnalysis suggestsMe: ENmix, Harman, MEAL, MethylAid, MultiDataSet, bigmelon, conumee, funtooNorm, minfi, missMethyl, recountmethylation, regionalpcs, shinyMethyl, shinyepico, skewr, MethylAidData dependencyCount: 147 Package: minfiDataEPIC Version: 1.32.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylationEPICanno.ilm10b2.hg19 License: Artistic-2.0 MD5sum: ee3086e570c8bb7a0283e30d3e9d06a6 NeedsCompilation: no Title: Example data for the Illumina Methylation EPIC array Description: Data from 3 technical replicates of the cell line GM12878 from the EPIC methylation array. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Jean-Philippe Fortin, Kasper Daniel Hansen Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/minfiDataEPIC git_branch: RELEASE_3_20 git_last_commit: 367d484 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/minfiDataEPIC_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MethylAid, REMP, minfi, recountmethylation, MethylAidData dependencyCount: 147 Package: minionSummaryData Version: 1.36.0 Depends: R (>= 3.2.0) Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 46fb1c1bc260bfa260fc0935ca887972 NeedsCompilation: no Title: Summarised MinION sequencing data published by Ashton et al. 2015 Description: Summarised MinION sequencing data for Salmonella Typhi published by Ashton et al. in 2015. Three replicate runs are each provided as Fast5Summary objects. biocViews: ExperimentData, SequencingData Author: Mike Smith [aut, cre] Maintainer: Mike Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/minionSummaryData git_branch: RELEASE_3_20 git_last_commit: 94fe492 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/minionSummaryData_1.36.0.tar.gz vignettes: vignettes/minionSummaryData/inst/doc/creating-Styphi-Dataset.html vignetteTitles: Creating example MinION summary dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/minionSummaryData/inst/doc/creating-Styphi-Dataset.R suggestsMe: IONiseR dependencyCount: 0 Package: miRcompData Version: 1.36.0 Depends: R (>= 3.2), Imports: utils License: GPL-3 | file LICENSE MD5sum: c4ca934e422f56d80d298f8f51a82aa8 NeedsCompilation: no Title: Data used in the miRcomp package Description: Raw amplification data from a large microRNA mixture / dilution study. These data are used by the miRcomp package to assess the performance of methods that estimate expression from the amplification curves. biocViews: ExperimentData, ExpressionData, qPCRData, Homo_sapiens_Data Author: Matthew N. McCall Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/miRcompData git_branch: RELEASE_3_20 git_last_commit: ac06d1e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/miRcompData_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: miRcomp dependencyCount: 1 Package: miRNATarget Version: 1.44.0 Depends: R (>= 2.10), Biobase License: GPL MD5sum: c31b5caacb79947f7bc47db42c9931d0 NeedsCompilation: no Title: gene target tabale of miRNA for human/mouse used for MiRaGE package Description: gene target tabale of miRNA for human/mouse used for MiRaGE package biocViews: ExperimentData, Homo_sapiens_Data Author: Y-h. Taguchi Maintainer: Y-h. Taguchi git_url: https://git.bioconductor.org/packages/miRNATarget git_branch: RELEASE_3_20 git_last_commit: ad8709a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/miRNATarget_1.44.0.tar.gz vignettes: vignettes/miRNATarget/inst/doc/miRNATarget.pdf vignetteTitles: miRNATargetTutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/miRNATarget/inst/doc/miRNATarget.R suggestsMe: MiRaGE dependencyCount: 6 Package: MMDiffBamSubset Version: 1.42.0 Suggests: MMDiff2 License: LGPL MD5sum: d8195c879ffc8680c7eb2b3ca6dd690d NeedsCompilation: no Title: Example ChIP-Seq data for the MMDiff package Description: Subset of BAM files, including WT_2.bam, Null_2.bam, Resc_2.bam, Input.bam from the "Cfp1" experiment (see Clouaire et al., Genes Dev. 2012). Data is available under ArrayExpress accession numbers E-ERAD-79. Additionally, corresponding subset of peaks called by MACS biocViews: ExperimentData, Genome, StemCell, Mus_musculus_Data, DNASeqData, ChIPSeqData, ArrayExpress Author: Gabriele Schweikert Maintainer: Gabriele Schweikert git_url: https://git.bioconductor.org/packages/MMDiffBamSubset git_branch: RELEASE_3_20 git_last_commit: 2a2b555 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MMDiffBamSubset_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MMDiff2 dependencyCount: 0 Package: MOFAdata Version: 1.22.0 Depends: R (>= 3.5) Suggests: knitr, MultiAssayExperiment, rmarkdown, BiocStyle License: LGPL-3 MD5sum: 3f8a0f3d03b4fa72d75a782592539c5c NeedsCompilation: yes Title: Data package for Multi-Omics Factor Analysis (MOFA) Description: A collection of datasets to accompany the R package MOFA and illustrate running and analysing MOFA models. biocViews: ReproducibleResearch Author: Ricard Argelaguet, Britta Velten, Damien Arnol, Florian Buettner, Wolfgang Huber, Oliver Stegle Maintainer: Britta Velten VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MOFAdata git_branch: RELEASE_3_20 git_last_commit: 6633aee git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MOFAdata_1.22.0.tar.gz vignettes: vignettes/MOFAdata/inst/doc/MOFAdata.html vignetteTitles: MOFAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MOFAdata/inst/doc/MOFAdata.R importsMe: TDbasedUFE suggestsMe: TDbasedUFEadv dependencyCount: 0 Package: mosaicsExample Version: 1.44.0 Depends: R (>= 2.11.1) License: GPL (>= 2) MD5sum: 8e41d96ae8a0d1cc915db718a0dfd2a7 NeedsCompilation: no Title: Example data for the mosaics package, which implements MOSAiCS and MOSAiCS-HMM, a statistical framework to analyze one-sample or two-sample ChIP-seq data for transcription factor binding and histone modification Description: Data for the mosaics package, consisting of (1) chromosome 22 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding and H3K4me3 modification in MCF7 cell line from ENCODE database (HG19) and (2) chromosome 21 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding, with mappability, GC content, and sequence ambiguity scores of human genome HG18. biocViews: ExperimentData, ChIPseqData, Homo_sapiens Author: Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles Maintainer: Dongjun Chung URL: http://groups.google.com/group/mosaics_user_group git_url: https://git.bioconductor.org/packages/mosaicsExample git_branch: RELEASE_3_20 git_last_commit: 5a06f4e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mosaicsExample_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: mosaics dependencyCount: 0 Package: mouse4302barcodevecs Version: 1.44.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 9f4d2c9dfa9224f36db3c05fa37d8a85 NeedsCompilation: no Title: mouse4302 data for barcode Description: Data used by the barcode package for microarrays of type mouse4302. biocViews: Mus_musculus_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/mouse4302barcodevecs git_branch: RELEASE_3_20 git_last_commit: 3f6dcb8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mouse4302barcodevecs_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: MouseAgingData Version: 1.2.0 Depends: R (>= 4.4.0), SingleCellExperiment Imports: AnnotationHub, ExperimentHub Suggests: BiocStyle, knitr, rmarkdown, scater License: Artistic-2.0 MD5sum: 2b81a40625c9fb8a371d45c49767be57 NeedsCompilation: no Title: Multi-omics data access for studies investigating the effects of aging Description: The MouseAgingData package provides analysis-ready data resources from different studies focused on aging and rejuvenation in mice. The package currently provides two 10x Genomics single-cell RNA-seq datasets. The first study profiled the aging mouse brain measured across 37,089 cells (Ximerakis et al., 2019). The second study investigated parabiosis by profiling a total of 105,329 cells (Ximerakis & Holton et al., 2023). The datasets are provided as SingleCellExperiment objects and provide raw UMI counts and cell metadata. biocViews: ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData, ExperimentHub, PackageTypeData, Mus_musculus_Data Author: Tram Nguyen [aut, cre] (), Kris Holton [aut], Tyrone Lee [aut], Nitesh Turaga [ctb], Ludwig Geistlinger [aut], Robert Gentleman [aut] Maintainer: Tram Nguyen URL: https://github.com/ccb-hms/MouseAgingData VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/MouseAgingData/issues git_url: https://git.bioconductor.org/packages/MouseAgingData git_branch: RELEASE_3_20 git_last_commit: f710868 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/MouseAgingData_1.2.0.tar.gz vignettes: vignettes/MouseAgingData/inst/doc/MouseAgingData_parabiosis_droplet.html vignetteTitles: Accessing and Visualizing Parabiosis Droplet Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MouseAgingData/inst/doc/MouseAgingData_parabiosis_droplet.R dependencyCount: 79 Package: MouseGastrulationData Version: 1.20.0 Depends: R (>= 4.1), SingleCellExperiment, SummarizedExperiment, SpatialExperiment Imports: methods, ExperimentHub, BiocGenerics, S4Vectors, BumpyMatrix Suggests: BiocStyle, knitr, rmarkdown, testthat License: GPL-3 MD5sum: f7a4543c31792e41ea7d679c558de675 NeedsCompilation: no Title: Single-Cell -omics Data across Mouse Gastrulation and Early Organogenesis Description: Provides processed and raw count data for single-cell RNA sequencing, single-cell ATAC-seq, and seqFISH (spatial transcriptomic) experiments performed along a timecourse of mouse gastrulation and early organogenesis. biocViews: ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData, ExperimentHub, Mus_musculus_Data Author: Jonathan Griffiths [aut, cre], Aaron Lun [aut] Maintainer: Jonathan Griffiths URL: https://github.com/MarioniLab/MouseGastrulationData VignetteBuilder: knitr BugReports: https://github.com/MarioniLab/MouseGastrulationData/issues git_url: https://git.bioconductor.org/packages/MouseGastrulationData git_branch: RELEASE_3_20 git_last_commit: a8d1ad2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/MouseGastrulationData_1.20.0.tar.gz vignettes: vignettes/MouseGastrulationData/inst/doc/MouseGastrulationData.html vignetteTitles: Available datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MouseGastrulationData/inst/doc/MouseGastrulationData.R suggestsMe: miloR dependencyCount: 84 Package: MouseThymusAgeing Version: 1.14.0 Depends: SingleCellExperiment, SummarizedExperiment Imports: ExperimentHub, methods, BiocGenerics, S4Vectors Suggests: knitr, scuttle, rmarkdown, BiocStyle License: GPL-3 MD5sum: 7e04a3f1cef8d685f18ec09133ea2082 NeedsCompilation: no Title: Single-cell Transcriptomics Data of the Ageing Mouse Thymus Description: This package provides data access to counts matrices and meta-data for single-cell RNA sequencing data of thymic epithlial cells across mouse ageing using SMARTseq2 and 10X Genommics chemistries. Access is provided as a data package via ExperimentHub. It is designed to facilitate the re-use of data from Baran-Gale _et al._ in a consistent format that includes relevant and informative meta-data. biocViews: ExperimentHub, SingleCellData, ExpressionData, ExperimentData Author: Mike Morgan [aut, cre], Jeanette Baran-Gale [aut] Maintainer: Mike Morgan VignetteBuilder: knitr BugReports: https://github.com/MarioniLab/MouseThymusAgeing/issues git_url: https://git.bioconductor.org/packages/MouseThymusAgeing git_branch: RELEASE_3_20 git_last_commit: 5be281a git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/MouseThymusAgeing_1.14.0.tar.gz vignettes: vignettes/MouseThymusAgeing/inst/doc/MouseThymusAgeing.html vignetteTitles: Available datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MouseThymusAgeing/inst/doc/MouseThymusAgeing.R suggestsMe: miloR dependencyCount: 79 Package: msd16s Version: 1.25.0 Depends: R (>= 2.10), Biobase, metagenomeSeq, License: Artistic-2.0 MD5sum: 2f1e1f51527fd43615f898bc898357d1 NeedsCompilation: no Title: Healthy and moderate to severe diarrhea 16S expression data Description: Gut 16S sequencing expression data from 992 healthy and moderate-to-severe diarrhetic samples used in 'Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition'. biocViews: ExperimentData, SequencingData, MicrobiomeData Author: Joseph N. Paulson, Hector Corrada Bravo, Mihai Pop Maintainer: Joseph N. Paulson URL: http://www.cbcb.umd.edu/research/projects/GEMS-pathogen-discovery git_url: https://git.bioconductor.org/packages/msd16s git_branch: devel git_last_commit: 715dfe5 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/msd16s_1.25.0.tar.gz vignettes: vignettes/msd16s/inst/doc/msd16s.pdf vignetteTitles: msd16s hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msd16s/inst/doc/msd16s.R suggestsMe: scTreeViz dependencyCount: 7 Package: msdata Version: 0.46.0 Depends: R (>= 3.5.0) Suggests: xcms, mzR, MSnbase License: GPL (>= 2) MD5sum: 280e355d2ab77124dcf82cf8625e1c4f NeedsCompilation: no Title: Various Mass Spectrometry raw data example files Description: Ion Trap positive ionization mode data in mzML file format. Subset from 500-850 m/z and 1190-1310 seconds, incl. MS2 and MS3, intensity threshold 100.000. Extracts from FTICR Apex III, m/z 400-450. Subset of UPLC - Bruker micrOTOFq data, both mzML and mz5. LC-MSMS and MRM files from proteomics experiments. PSI mzIdentML example files for various search engines. biocViews: ExperimentData, MassSpectrometryData Author: Steffen Neumann , Laurent Gatto with contriutions from Johannes Rainer Maintainer: Steffen Neumann , Laurent Gatto git_url: https://git.bioconductor.org/packages/msdata git_branch: RELEASE_3_20 git_last_commit: 0059016 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/msdata_0.46.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MsQuality suggestsMe: IPO, MSnbase, MetaboAnnotation, MsBackendSql, MsExperiment, PSMatch, QFeatures, SpectraQL, Spectra, TargetDecoy, koinar, msqrob2, mzR, peakPantheR, xcms, RforProteomics dependencyCount: 0 Package: msigdb Version: 1.14.0 Depends: R (>= 4.1) Imports: ExperimentHub, utils, GSEABase, org.Mm.eg.db, org.Hs.eg.db, AnnotationDbi, methods, stats, AnnotationHub Suggests: singscore, vissE, knitr, prettydoc, BiocStyle, rmarkdown, testthat (>= 3.0.0), BiocFileCache, GO.db, stringr, limma License: CC BY 4.0 MD5sum: 1c8a6d642d596cc654fa254d9cef809e NeedsCompilation: no Title: An ExperimentHub Package for the Molecular Signatures Database (MSigDB) Description: This package provides the Molecular Signatures Database (MSigDB) in a R accessible objects. Signatures are stored in GeneSet class objects form the GSEABase package and the entire database is stored in a GeneSetCollection object. These data are then hosted on the ExperimentHub. Data used in this package was obtained from the MSigDB of the Broad Institute. Metadata for each gene set is stored along with the gene set in the GeneSet class object. biocViews: ExperimentHub, Homo_sapiens_Data, Mus_musculus_Data Author: Dharmesh D. Bhuva [aut, cre] (), Gordon K. Smyth [aut] (), Alexandra Garnham [aut] () Maintainer: Dharmesh D. Bhuva URL: https://davislaboratory.github.io/msigdb VignetteBuilder: knitr BugReports: https://github.com/DavisLaboratory/msigdb/issues git_url: https://git.bioconductor.org/packages/msigdb git_branch: RELEASE_3_20 git_last_commit: ccc97a8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/msigdb_1.14.0.tar.gz vignettes: vignettes/msigdb/inst/doc/msigdb.html vignetteTitles: msigdb hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msigdb/inst/doc/msigdb.R importsMe: mastR, vissE dependencyCount: 74 Package: MSMB Version: 1.24.0 Depends: R (>= 3.5), tibble Suggests: knitr, BiocStyle License: LGPL MD5sum: 5167cfe5c0b53d2cc730be93fb20218c NeedsCompilation: no Title: Data sets for the book 'Modern Statistics for Biology' Description: Data sets for the book 'Modern Statistics for Modern Biology', S.P. Holmes and W. Huber. biocViews: ExperimentData Author: Wolfgang Huber, Andrzej Oles, Mike Smith Maintainer: Wolfgang Huber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MSMB git_branch: RELEASE_3_20 git_last_commit: 467411a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MSMB_1.24.0.tar.gz vignettes: vignettes/MSMB/inst/doc/MSMB.html vignetteTitles: Data sets for the book 'Modern Statistics for Biology' hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MSMB/inst/doc/MSMB.R dependencyCount: 14 Package: msPurityData Version: 1.34.0 Suggests: knitr License: GPL (>= 2) MD5sum: c167bd73ab7483ee04320b8a18824b03 NeedsCompilation: no Title: Fragmentation spectral libraries and data to test the msPurity package Description: Fragmentation spectral libraries and data to test the msPurity package biocViews: ExperimentData, MassSpectrometryData Author: Thomas N. Lawson Maintainer: Thomas N. Lawson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/msPurityData git_branch: RELEASE_3_20 git_last_commit: b678757 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/msPurityData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: msPurity dependencyCount: 0 Package: msqc1 Version: 1.34.0 Depends: R (>= 3.6), lattice, stats, utils Suggests: BiocStyle, knitr, rmarkdown, testthat, specL (>= 1.2) License: GPL MD5sum: db71d1e332bca83be8180f47fab9bd14 NeedsCompilation: no Title: Sigma mix MSQC1 data Description: contains eight technical replicate data set and a three replicate dilution series of the MS Qual/Quant Quality Control Mix standard sample (Sigma-Aldrich, Buchs, Switzerland) measured on five different mass spectrometer platforms at the Functional Genomics Center Zurich. biocViews: ExperimentData, MassSpectrometryData, ReproducibleResearch Author: Tobias Kockmann [aut] (), Christian Trachsel [aut], Christian Panse [aut, cre] () Maintainer: Christian Panse URL: https://panoramaweb.org/labkey/MSQC1.url, http://fgcz-bfabric.uzh.ch/bfabric/project.html?projectId=1959 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/msqc1 git_branch: RELEASE_3_20 git_last_commit: ec41a45 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/msqc1_1.34.0.tar.gz vignettes: vignettes/msqc1/inst/doc/poster.pdf, vignettes/msqc1/inst/doc/chromatography.html, vignettes/msqc1/inst/doc/msqc1.html vignetteTitles: ASMS 2016 poster (in portrait) abstract ID number: 282492, LC Observations - Retention Time Stability, Introducing msqc1 - A Mass Spec Data set for Targeted Proteomics Performance Evaluation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msqc1/inst/doc/chromatography.R, vignettes/msqc1/inst/doc/msqc1.R, vignettes/msqc1/inst/doc/poster.R dependencyCount: 6 Package: mtbls2 Version: 1.36.0 Depends: R (>= 2.10) Suggests: xcms (>= 3.13.8), CAMERA, Risa (>= 1.0.0), knitr, Heatplus, pcaMethods, sp, rmarkdown License: CC0 MD5sum: 79a28f68b38f98d6ce03a37e9c345eca NeedsCompilation: no Title: MetaboLights MTBLS2: Comparative LC/MS-based profiling of silver nitrate-treated Arabidopsis thaliana leaves of wild-type and cyp79B2 cyp79B3 double knockout plants. Böttcher et al. (2004) Description: Indole-3-acetaldoxime (IAOx) represents an early intermediate of the biosynthesis of a variety of indolic secondary metabolites including the phytoanticipin indol-3-ylmethyl glucosinolate and the phytoalexin camalexin (3-thiazol-2'-yl-indole). Arabidopsis thaliana cyp79B2 cyp79B3 double knockout plants are completely impaired in the conversion of tryptophan to indole-3-acetaldoxime and do not accumulate IAOx-derived metabolites any longer. Consequently, comparative analysis of wild-type and cyp79B2 cyp79B3 plant lines has the potential to explore the complete range of IAOx-derived indolic secondary metabolites. biocViews: MassSpectrometryData, RepositoryData Author: Steffen Neumann Maintainer: Steffen Neumann URL: http://www.ebi.ac.uk/metabolights/MTBLS2, https://github.com/sneumann/mtbls2 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mtbls2 git_branch: RELEASE_3_20 git_last_commit: d293b90 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/mtbls2_1.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: IPO, yamss dependencyCount: 0 Package: MUGAExampleData Version: 1.26.0 Depends: R (>= 2.10.0) License: GPL-3 MD5sum: d5088f4c87dbb3d54790d75dd7402dcc NeedsCompilation: no Title: Example {M}ouse {U}niversal {G}enotyping {A}rray data for genome reconstruction and quantitative trait locus mapping. Description: This package contains example data for the MUGA array that is used by the R package DOQTL. biocViews: ExperimentData, Mus_musculus_Data Author: Daniel Gatti Maintainer: Daniel Gatti git_url: https://git.bioconductor.org/packages/MUGAExampleData git_branch: RELEASE_3_20 git_last_commit: ae9945c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/MUGAExampleData_1.26.0.tar.gz vignettes: vignettes/MUGAExampleData/inst/doc/MUGAExampleData.pdf vignetteTitles: User Manual hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MUGAExampleData/inst/doc/MUGAExampleData.R dependencyCount: 0 Package: muleaData Version: 1.2.0 Suggests: knitr, rmarkdown, ExperimentHub, dplyr License: MIT + file LICENSE MD5sum: 18eef13b74d8038a948241698a68dec1 NeedsCompilation: no Title: Genes Sets for Functional Enrichment Analysis with the 'mulea' R Package Description: ExperimentHubData package for the 'mulea' comprehensive overrepresentation and functional enrichment analyser R package. Here we provide ontologies (gene sets) in a data.frame for 27 different organisms, ranging from Escherichia coli to human, all acquired from publicly available data sources. Each ontology is provided with multiple gene and protein identifiers. Please see the NEWS file for a list of changes in each version. biocViews: ExperimentData, ExperimentHub, Arabidopsis_thaliana_Data, Bacillus_subtilis_Data, Caenorhabditis_elegans_Data, Danio_rerio_Data, Drosophila_melanogaster_Data, Escherichia_coli_Data, Homo_sapiens_Data, Pan_troglodytes_Data, Pseudomonas_aeruginosa_Data, Rattus_norvegicus_Data, Saccharomyces_cerevisiae_Data, Staphylococcus_aureus_Data, ChIPSeqData, DNASeqData, ExpressionData, miRNAData Author: Eszter Ari [aut, cre] (), Márton Ölbei [aut] (), Lejla Gul [aut], Balázs Bohár [aut] (), Tamás Stirling [aut] () Maintainer: Eszter Ari URL: https://github.com/ELTEbioinformatics/muleaData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/tag/muleaData/issues git_url: https://git.bioconductor.org/packages/muleaData git_branch: RELEASE_3_20 git_last_commit: 4fe17e4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/muleaData_1.2.0.tar.gz vignettes: vignettes/muleaData/inst/doc/muleaData.html vignetteTitles: muleaData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/muleaData/inst/doc/muleaData.R dependencyCount: 0 Package: multiWGCNAdata Version: 1.4.0 Depends: ExperimentHub Imports: utils Suggests: BiocStyle, knitr, multiWGCNA, rmarkdown, SummarizedExperiment License: Artistic-2.0 MD5sum: e6089bfadf14808c9f01dff10a1df3c1 NeedsCompilation: no Title: Data Package for multiWGCNA Description: Stores expression profiling data from experiments compatible with the multiWGCNA R package. This includes human postmortem microarray data from patients and controls (GSE28521), astrocyte Ribotag RNA-seq data from EAE and wildtype mice (GSE100329), and mouse RNA-seq data from tau pathology (rTg4510) and wildtype control mice (GSE125957). These data can be accessed using the ExperimentHub workflow (see multiWGCNA vignettes). biocViews: ExperimentHub, ExpressionData, Homo_sapiens_Data, Mus_musculus_Data, RNASeqData, MicroarrayData Author: Dario Tommasini [aut, cre] () Maintainer: Dario Tommasini VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/multiWGCNAdata git_branch: RELEASE_3_20 git_last_commit: 487ae07 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/multiWGCNAdata_1.4.0.tar.gz vignettes: vignettes/multiWGCNAdata/inst/doc/multiWGCNAdata.html vignetteTitles: Loading data through ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/multiWGCNAdata/inst/doc/multiWGCNAdata.R dependencyCount: 67 Package: muscData Version: 1.20.0 Depends: R (>= 3.6), ExperimentHub, SingleCellExperiment Imports: utils Suggests: BiocStyle, dplyr, DropletUtils, knitr, GEOquery, Matrix, matrixStats, methods, muscat, rmarkdown, R.utils, readxl, scater, scds, Seurat License: MIT + file LICENSE MD5sum: 157c067dfb062ac305f9e79a6fb42bd1 NeedsCompilation: no Title: Multi-sample multi-group scRNA-seq data Description: Data package containing a collection of multi-sample multi-group scRNA-seq datasets in SingleCellExperiment Bioconductor object format. biocViews: ExperimentHub, ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, ImmunoOncologyData, SingleCellData Author: Helena L. Crowell [aut, cre] Maintainer: Helena L. Crowell URL: https://github.com/HelenaLC/muscData VignetteBuilder: knitr BugReports: https://github.com/HelenaLC/muscData/issues git_url: https://git.bioconductor.org/packages/muscData git_branch: RELEASE_3_20 git_last_commit: b2ac79b git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/muscData_1.20.0.tar.gz vignettes: vignettes/muscData/inst/doc/muscData.html vignetteTitles: Multi-sample multi-group scRNA-seq data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/muscData/inst/doc/muscData.R suggestsMe: dreamlet, glmGamPoi dependencyCount: 79 Package: mvoutData Version: 1.42.0 Depends: R (>= 2.10.0), methods, Biobase (>= 2.5.5), affy (>= 1.23.4), lumi License: Artistic-2.0 MD5sum: 313c7e57d9a26a53342aa415b0370cbd NeedsCompilation: no Title: affy and illumina raw data for assessing outlier detector performance Description: affy and illumina raw data for assessing outlier detector performance biocViews: ExperimentData, MicroarrayData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/mvoutData git_branch: RELEASE_3_20 git_last_commit: 58467dc git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/mvoutData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout dependencyCount: 166 Package: NanoporeRNASeq Version: 1.16.0 Depends: R(>= 4.0.0), ExperimentHub (>= 1.15.3) Suggests: knitr, bambu, ggbio, BSgenome.Hsapiens.NCBI.GRCh38, circlize, ComplexHeatmap, apeglm, rlang, rmarkdown, GenomicAlignments, Rsamtools Enhances: parallel License: GPL-3 + file LICENSE MD5sum: ef132234a96caa2e0b6d0ff22263c774 NeedsCompilation: no Title: Nanopore RNA-Seq Example data Description: The NanoporeRNASeq package contains long read RNA-Seq data generated using Oxford Nanopore Sequencing. The data consists of 6 samples from two human cell lines (K562 and MCF7) that were generated by the SG-NEx project. Each of these cell lines has three replicates, with 1 direct RNA sequencing data and 2 cDNA sequencing data. Reads are aligned to chromosome 22 (Grch38) and stored as bam files. The original data is from the SG-NEx project. biocViews: ExperimentHub, ExperimentData, RNASeqData, Genome, SequencingData Author: Jonathan Goeke [aut], Ying Chen [cre], Yuk Kei Wan [aut] Maintainer: Ying Chen URL: https://github.com/GoekeLab/NanoporeRNASeq VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NanoporeRNASeq git_branch: RELEASE_3_20 git_last_commit: 8b705c0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/NanoporeRNASeq_1.16.0.tar.gz vignettes: vignettes/NanoporeRNASeq/inst/doc/NanoporeRNASeq.html vignetteTitles: NanoporeRNASeq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NanoporeRNASeq/inst/doc/NanoporeRNASeq.R suggestsMe: bambu dependencyCount: 67 Package: nanotubes Version: 1.22.0 Depends: R (>= 3.6) Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, rtracklayer, CAGEfightR License: GPL-3 MD5sum: e12d5b3c6facf1c6aa320715282de427 NeedsCompilation: no Title: Mouse nanotube CAGE data Description: Cap Analysis of Gene Expression (CAGE) data from "Identification of Gene Transcription Start Sites and Enhancers Responding to Pulmonary Carbon Nanotube Exposure in Vivo" by Bornholdt et al. supplied as CAGE Transcription Start Sites (CTSSs). biocViews: ExperimentData, SequencingData, ExpressionData Author: Malte Thodberg Maintainer: Malte Thodberg URL: https://github.com/MalteThodberg/nanotubes VignetteBuilder: knitr BugReports: https://github.com/MalteThodberg/nanotubes/issues git_url: https://git.bioconductor.org/packages/nanotubes git_branch: RELEASE_3_20 git_last_commit: 6b77c5f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/nanotubes_1.22.0.tar.gz vignettes: vignettes/nanotubes/inst/doc/nanotubes.html vignetteTitles: nanotubes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/nanotubes/inst/doc/nanotubes.R dependsOnMe: CAGEWorkflow dependencyCount: 0 Package: NCIgraphData Version: 1.42.0 Depends: R (>= 2.10.0) Suggests: Rgraphviz License: GPL-3 MD5sum: 10459d011efb985487e297cbe4b9ffac NeedsCompilation: no Title: Data for the NCIgraph software package Description: Provides pathways from the NCI Pathways Database as R graph objects biocViews: NCI Author: Laurent Jacob Maintainer: Laurent Jacob git_url: https://git.bioconductor.org/packages/NCIgraphData git_branch: RELEASE_3_20 git_last_commit: 3210b7c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/NCIgraphData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: NestLink Version: 1.22.0 Depends: R (>= 3.6), AnnotationHub (>= 2.15), ExperimentHub (>= 1.0), Biostrings (>= 2.51), gplots (>= 3.0), protViz (>= 0.4), ShortRead (>= 1.41) Imports: grDevices, graphics, stats, utils Suggests: BiocStyle (>= 2.2), DT, ggplot2, knitr, rmarkdown, testthat, specL, lattice, scales License: GPL MD5sum: 3fc4cdd3cb28a6f27b3be814b3e9334d NeedsCompilation: no Title: NestLink an R data package to guide through Engineered Peptide Barcodes for In-Depth Analyzes of Binding Protein Ensembles Description: Provides next-generation sequencing (NGS) and mass spectrometry (MS) sample data, code snippets and replication material used for developing NestLink. The NestLink approach is a protein binder selection and identification technology able to biophysically characterize thousands of library members at once without handling individual clones at any stage of the process. Data were acquired on NGS and MS platforms at the Functional Genomics Center Zurich. biocViews: ExperimentHub, ExperimentData, SequencingData, MassSpectrometryData, ReproducibleResearch Author: Pascal Egloff [aut] (), Iwan Zimmermann [ctb] (), Fabian M. Arnold [ctb], Cedric A.J. Hutter [ctb] (), Lennart Opitz [aut, cre] (), Lucy Poveda [ctb] (), Hans-Anton Keserue [ctb], Christian Panse [aut, ctb] (), Bernd Roschitzki [aut] (), Markus Seeger [aut] () Maintainer: Lennart Opitz VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NestLink git_branch: RELEASE_3_20 git_last_commit: 8d49fac git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/NestLink_1.22.0.tar.gz vignettes: vignettes/NestLink/inst/doc/analyze-flycode-detectibilty.html, vignettes/NestLink/inst/doc/compare-predicted-observed-flycodes.html, vignettes/NestLink/inst/doc/link-nanobodies-flycodes.html, vignettes/NestLink/inst/doc/make-data.html, vignettes/NestLink/inst/doc/simulate-flycodes.html, vignettes/NestLink/inst/doc/supplement-note1.html vignetteTitles: 2. Analyze flycode detectability using ESP and SSRC prediction, 3. Compare Predicted and Observed flycodes hydrophobicity values using F255744., 1. Link high quality flycode and nanobody sequences by NGS filtering., 5. make-data, 0. Simulate flycode properties., 4. Control experiment to assess the robustness of protein detection via flycodes (NMETH-A35040 Suppl. notes 1). hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/NestLink/inst/doc/analyze-flycode-detectibilty.R, vignettes/NestLink/inst/doc/compare-predicted-observed-flycodes.R, vignettes/NestLink/inst/doc/link-nanobodies-flycodes.R, vignettes/NestLink/inst/doc/make-data.R, vignettes/NestLink/inst/doc/simulate-flycodes.R, vignettes/NestLink/inst/doc/supplement-note1.R dependencyCount: 107 Package: NetActivityData Version: 1.8.0 Depends: R (>= 4.2.0) Suggests: BiocStyle, knitr License: MIT + file LICENSE MD5sum: 48e57fff0a0666f0e03312f686825c25 NeedsCompilation: no Title: Data required for getting the gene set scores with NetActivity package Description: This package contains the weights from pre-trained shallow sparsely-connected autoencoders. This data is required for getting the gene set scores with NetActivity package. biocViews: ExperimentData, RepositoryData Author: Carlos Ruiz-Arenas [aut, cre] Maintainer: Carlos Ruiz-Arenas VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NetActivityData git_branch: RELEASE_3_20 git_last_commit: ea9117d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/NetActivityData_1.8.0.tar.gz vignettes: vignettes/NetActivityData/inst/doc/NetActivityData.html vignetteTitles: "NetActivityData" hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NetActivityData/inst/doc/NetActivityData.R importsMe: NetActivity dependencyCount: 0 Package: Neve2006 Version: 0.44.0 Depends: R (>= 2.14.0), tools, methods, utils, Biobase (>= 1.14.0), hgu133a.db, annotate License: Artistic-2.0 MD5sum: 2728c25e8357e4a82c70e4f6a82b492d NeedsCompilation: no Title: expression and CGH data on breast cancer cell lines Description: Experimental organization of combined expression and CGH data biocViews: ExperimentData, CancerData, BreastCancerData Author: M. Neve et al. in Gray Lab at LBL Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/Neve2006 git_branch: RELEASE_3_20 git_last_commit: 5934bb3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Neve2006_0.44.0.tar.gz vignettes: vignettes/Neve2006/inst/doc/neve06notes.pdf vignetteTitles: Neve 2006: combined CGH and expression data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Neve2006/inst/doc/neve06notes.R dependencyCount: 50 Package: NGScopyData Version: 1.26.0 License: GPL (>=2) MD5sum: 765a3d0f4a4c7faae9cfae3d1275f233 NeedsCompilation: no Title: Subset of BAM files of human tumor and pooled normal sequencing data (Zhao et al. 2014) for the NGScopy package Description: Subset of BAM files of human lung tumor and pooled normal samples by targeted panel sequencing. [Zhao et al 2014. Targeted Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using the University of North Carolina (UNC) Sequencing Assay Captures Most Previously Described Genetic Aberrations in NSCLC. In preparation.] Each sample is a 10 percent random subsample drawn from the original sequencing data. The pooled normal sample has been rescaled accroding to the total number of normal samples in the "pool". Here provided is the subsampled data on chr6 (hg19). biocViews: ExperimentData, CancerData, LungCancerData, SequencingData Author: Xiaobei Zhao [aut, cre, cph] Maintainer: Xiaobei Zhao URL: http://www.bioconductor.org/packages/release/data/experiment/html/NGScopyData.html git_url: https://git.bioconductor.org/packages/NGScopyData git_branch: RELEASE_3_20 git_last_commit: aff4475 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/NGScopyData_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: nullrangesData Version: 1.12.0 Depends: R (>= 4.1.0), ExperimentHub, GenomicRanges, InteractionSet Imports: utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 5fc9168190de6f06922ed63027aba161 NeedsCompilation: no Title: ExperimentHub datasets for the nullranges package Description: Provides datasets for the nullranges package vignette, in particular example datasets for DNase hypersensitivity sites (DHS), CTCF binding sites, and CTCF genomic interactions. These are used to demonstrate generation of null hypothesis feature sets, either through block bootstrapping or matching, in the nullranges vignette. For more details, see the data object man pages, and the R scripts for object construction provided within the package. biocViews: ExperimentHub, Homo_sapiens_Data, SequencingData, ChIPSeqData, ENCODE Author: Michael Love [aut, cre] (), Wancen Mu [aut] (), Eric Davis [aut] (), Mikhail Dozmorov [aut] Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/nullrangesData git_branch: RELEASE_3_20 git_last_commit: 74cc6a6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/nullrangesData_1.12.0.tar.gz vignettes: vignettes/nullrangesData/inst/doc/nullrangesData.html vignetteTitles: nullrangesData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/nullrangesData/inst/doc/nullrangesData.R suggestsMe: iSEEhub, nullranges dependencyCount: 80 Package: NxtIRFdata Version: 1.12.0 Imports: ExperimentHub, BiocFileCache, rtracklayer, R.utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown License: MIT + file LICENSE MD5sum: 74ae8288457bfc954fecd85de9b16580 NeedsCompilation: no Title: Data for NxtIRF Description: NxtIRFdata is a companion package for SpliceWiz, an interactive analysis and visualization tool for alternative splicing quantitation (including intron retention) for RNA-seq BAM files. NxtIRFdata contains Mappability files required for the generation of human and mouse references. NxtIRFdata also contains a synthetic genome reference and example BAM files used to demonstrate SpliceWiz's functionality. BAM files are based on 6 samples from the Leucegene dataset provided by NCBI Gene Expression Omnibus under accession number GSE67039. biocViews: ExperimentData, PackageTypeData, Genome, RNASeqData, ExpressionData, ExperimentHub Author: Alex Chit Hei Wong [aut, cre, cph], Ulf Schmitz [ctb] Maintainer: Alex Chit Hei Wong URL: https://github.com/alexchwong/NxtIRFdata VignetteBuilder: knitr BugReports: https://support.bioconductor.org/ git_url: https://git.bioconductor.org/packages/NxtIRFdata git_branch: RELEASE_3_20 git_last_commit: 01ae92e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/NxtIRFdata_1.12.0.tar.gz vignettes: vignettes/NxtIRFdata/inst/doc/NxtIRFdata.html vignetteTitles: NxtIRFdata: a data package for NxtIRF hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NxtIRFdata/inst/doc/NxtIRFdata.R dependsOnMe: SpliceWiz dependencyCount: 100 Package: ObMiTi Version: 1.14.0 Depends: R (>= 4.1), SummarizedExperiment, ExperimentHub Suggests: knitr, rmarkdown, BiocManager, GenomicFeatures, S4Vectors, devtools, testthat License: GPL-3 MD5sum: c207988f479ca296dbc34cab5399e2d7 NeedsCompilation: no Title: Ob/ob Mice Data on Normal and High Fat Diet Description: The package provide RNA-seq count for 2 strains of mus musclus; Wild type and Ob/Ob. Each strain was divided into two groups, and each group received either chow diet or high fat diet. RNA expression was measured after 20 weeks in 7 tissues. biocViews: ExperimentHub, GEO, RNASeqData Author: Omar Elashkar [aut, cre] (), Mahmoud Ahmed [aut] () Maintainer: Omar Elashkar URL: https://github.com/OmarElAshkar/ObMiTi VignetteBuilder: knitr BugReports: https://github.com/OmarElAshkar/ObMiTi/issues git_url: https://git.bioconductor.org/packages/ObMiTi git_branch: RELEASE_3_20 git_last_commit: 654990d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ObMiTi_1.14.0.tar.gz vignettes: vignettes/ObMiTi/inst/doc/ObMiTi.html vignetteTitles: Using ObMiTi hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ObMiTi/inst/doc/ObMiTi.R dependencyCount: 78 Package: oct4 Version: 1.22.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: 9a2784c2fdbf88a19542be9870628f76 NeedsCompilation: no Title: Conditional knockdown of OCT4 in mouse ESCs Description: This package provides the output of running Salmon on a set of 12 RNA-seq samples from King & Klose, "The pioneer factor OCT4 requires the chromatin remodeller BRG1 to support gene regulatory element function in mouse embryonic stem cells", published in eLIFE, March 2017. For details on version numbers and how the samples were processed see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/oct4 git_branch: RELEASE_3_20 git_last_commit: d34e9ef git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/oct4_1.22.0.tar.gz vignettes: vignettes/oct4/inst/doc/oct4.html vignetteTitles: Salmon quantifications for condition OCT4 knockdown in mouse ESCs hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/oct4/inst/doc/oct4.R dependencyCount: 0 Package: octad.db Version: 1.8.0 Depends: R (>= 4.2.0), ExperimentHub Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: 0afebff9d9a140dbdb280de68a39cc0e NeedsCompilation: no Title: Open Cancer TherApeutic Discovery (OCTAD) database Description: Open Cancer TherApeutic Discovery (OCTAD) package implies sRGES approach for the drug discovery. The essential idea is to identify drugs that reverse the gene expression signature of a disease by tamping down over-expressed genes and stimulating weakly expressed ones. The following package contains all required precomputed data for whole OCTAD pipeline computation. biocViews: ExperimentData, CancerData, ExperimentHub, SequencingData, ExpressionData Author: E. Chekalin [aut, cre], S. Paithankar [aut], B. Zeng [aut], B. Glicksberg [ctb], P. Newbury [ctb], J. Xing [ctb], K. Liu [ctb], A. Wen [ctb], D. Joseph [ctb], B. Chen [aut] Maintainer: E. Chekalin VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/octad.db git_branch: RELEASE_3_20 git_last_commit: f84c906 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/octad.db_1.8.0.tar.gz vignettes: vignettes/octad.db/inst/doc/octad.db.html vignetteTitles: octad.db hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/octad.db/inst/doc/octad.db.R dependsOnMe: octad dependencyCount: 67 Package: OMICsPCAdata Version: 1.24.0 Depends: R (>= 3.5.0), MultiAssayExperiment Suggests: knitr, kableExtra, rmarkdown License: GPL-3 MD5sum: 0662aa06eb12503247db63f9eb7589b2 NeedsCompilation: no Title: Supporting data for package OMICsPCA Description: Supporting data for package OMICsPCA biocViews: RepositoryData, TechnologyData, ChIPSeqData, SequencingData, ExpressionData, ENCODE Author: Subhadeep Das Maintainer: Subhadeep Das VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/OMICsPCAdata git_branch: RELEASE_3_20 git_last_commit: e94d330 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/OMICsPCAdata_1.24.0.tar.gz vignettes: vignettes/OMICsPCAdata/inst/doc/vignettes.html vignetteTitles: OMICsPCAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/OMICsPCAdata/inst/doc/vignettes.R dependsOnMe: OMICsPCA dependencyCount: 58 Package: OnassisJavaLibs Version: 1.28.0 Depends: R (>= 3.4) Imports: rJava Suggests: BiocStyle, rmarkdown, knitr License: GPL-2 MD5sum: 835d47c58d358149eaf643a280345200 NeedsCompilation: no Title: OnassisJavaLibs, java libraries to run conceptmapper and semantic similarity Description: A package that contains java libraries to call conceptmapper and compute semnatic similarity from R biocViews: ExperimentData Author: Eugenia Galeota Maintainer: Eugenia Galeota SystemRequirements: Java (>= 1.8) VignetteBuilder: rmarkdown, knitr git_url: https://git.bioconductor.org/packages/OnassisJavaLibs git_branch: RELEASE_3_20 git_last_commit: 105a5b1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/OnassisJavaLibs_1.28.0.tar.gz vignettes: vignettes/OnassisJavaLibs/inst/doc/OnassisJavaLibs.html vignetteTitles: OnassisJavaLibs: Java Libraries to support Onassis,, Ontology Annotation and Semantic Similarity software hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/OnassisJavaLibs/inst/doc/OnassisJavaLibs.R dependencyCount: 2 Package: optimalFlowData Version: 1.18.0 Depends: R (>= 4.0) Suggests: knitr, BiocStyle, rmarkdown, magick License: Artistic-2.0 MD5sum: 55a3488bbc6c8f1d9caac07a42a513fb NeedsCompilation: no Title: optimalFlowData Description: Data files used as examples and for testing of the software provided in the optimalFlow package. biocViews: ExperimentData, PackageTypeData, ImmunoOncologyData, FlowCytometryData Author: Hristo Inouzhe Maintainer: Hristo Inouzhe VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/optimalFlowData git_branch: RELEASE_3_20 git_last_commit: b95d876 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/optimalFlowData_1.18.0.tar.gz vignettes: vignettes/optimalFlowData/inst/doc/optimalFlowData_vignette.html vignetteTitles: optimalFlow: optimal-transport approach to Flow Cytometry analysis hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/optimalFlowData/inst/doc/optimalFlowData_vignette.R dependsOnMe: optimalFlow dependencyCount: 0 Package: orthosData Version: 1.4.0 Imports: AnnotationHub, BiocFileCache, ExperimentHub, HDF5Array, stringr, SummarizedExperiment Suggests: BiocStyle, ggplot2, knitr, rmarkdown, testthat License: MIT + file LICENSE MD5sum: 31ec483008cbe76b4ad674381133bb91 NeedsCompilation: no Title: Data for the orthos package Description: `orthosData` is the companion ExperimentData package to the `orthos` R package for mechanistic studies using differential gene expression experiments. It provides functions for retrieval from ExperimentHub and local caching of the models and datasets used internally in orthos. biocViews: ExperimentData, RNASeqData, ExperimentHub Author: Panagiotis Papasaikas [aut, cre] (), Charlotte Soneson [aut] (), Michael Stadler [aut] (), Friedrich Miescher Institute for Biomedical Research [cph] Maintainer: Panagiotis Papasaikas URL: https://github.com/fmicompbio/orthosData VignetteBuilder: knitr BugReports: https://github.com/fmicompbio/orthosData/issues git_url: https://git.bioconductor.org/packages/orthosData git_branch: RELEASE_3_20 git_last_commit: abd956e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/orthosData_1.4.0.tar.gz vignettes: vignettes/orthosData/inst/doc/orthosData.html vignetteTitles: 1. Introduction to orthos hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/orthosData/inst/doc/orthosData.R importsMe: orthos dependencyCount: 82 Package: parathyroidSE Version: 1.43.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: Rsamtools, GenomicAlignments, GEOquery, SRAdb, GenomicFeatures, BiocStyle License: LGPL MD5sum: 1e65ae1c86ad412e58b32b4d4c697486 NeedsCompilation: no Title: RangedSummarizedExperiment for RNA-Seq of primary cultures of parathyroid tumors by Haglund et al., J Clin Endocrinol Metab 2012. Description: This package provides RangedSummarizedExperiment objects of read counts in genes and exonic parts for paired-end RNA-Seq data from experiments on primary cultures of parathyroid tumors. The data were presented in the article "Evidence of a Functional Estrogen Receptor in Parathyroid Adenomas" by Haglund F, Ma R, Huss M, Sulaiman L, Lu M, Nilsson IL, Hoog A, Juhlin CC, Hartman J, Larsson C, J Clin Endocrinol Metab. jc.2012-2484, Epub 2012 Sep 28, PMID: 23024189. The sequencing was performed on tumor cultures from 4 patients at 2 time points over 3 conditions (DPN, OHT and control). One control sample was omitted by the paper authors due to low quality. The package vignette describes the creation of the object from raw sequencing data provided by NCBI Gene Expression Omnibus under accession number GSE37211. The gene and exon features are the GRCh37 Ensembl annotations. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love git_url: https://git.bioconductor.org/packages/parathyroidSE git_branch: devel git_last_commit: 8433284 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/parathyroidSE_1.43.0.tar.gz vignettes: vignettes/parathyroidSE/inst/doc/parathyroidSE.pdf vignetteTitles: parathyroidGenesSE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/parathyroidSE/inst/doc/parathyroidSE.R suggestsMe: ClassifyR, DEXSeq dependencyCount: 36 Package: pasilla Version: 1.34.0 Depends: R (>= 3.5.0), DEXSeq Suggests: rmarkdown, BiocStyle, knitr, roxygen2 License: LGPL MD5sum: b1521054ce2e43ced5de491d1ea26e8b NeedsCompilation: no Title: Data package with per-exon and per-gene read counts of RNA-seq samples of Pasilla knock-down by Brooks et al., Genome Research 2011. Description: This package provides per-exon and per-gene read counts computed for selected genes from RNA-seq data that were presented in the article "Conservation of an RNA regulatory map between Drosophila and mammals" by Brooks AN, Yang L, Duff MO, Hansen KD, Park JW, Dudoit S, Brenner SE, Graveley BR, Genome Res. 2011 Feb;21(2):193-202, Epub 2010 Oct 4, PMID: 20921232. The experiment studied the effect of RNAi knockdown of Pasilla, the Drosophila melanogaster ortholog of mammalian NOVA1 and NOVA2, on the transcriptome. The package vignette describes how the data provided here were derived from the RNA-Seq read sequence data that are provided by NCBI Gene Expression Omnibus under accession numbers GSM461176 to GSM461181. biocViews: ExperimentData, Genome, Drosophila_melanogaster_Data, RNASeqData Author: Wolfgang Huber, Alejandro Reyes Maintainer: Alejandro Reyes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/pasilla git_branch: RELEASE_3_20 git_last_commit: ac32a9f git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/pasilla_1.34.0.tar.gz vignettes: vignettes/pasilla/inst/doc/create_objects.html vignetteTitles: "Data preprocessing and creation of the data objects pasillaGenes and pasillaExons" hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pasilla/inst/doc/create_objects.R importsMe: blacksheepr suggestsMe: BADER, DESeq2, DEXSeq, EnhancedVolcano, ReportingTools, gsean, regionReport, tidybulk, pasillaBamSubset dependencyCount: 119 Package: pasillaBamSubset Version: 0.44.0 Suggests: pasilla License: LGPL MD5sum: 6c11c77d7bfecf2e07d1de5153c6f36f NeedsCompilation: no Title: Subset of BAM files from "Pasilla" experiment Description: Subset of BAM files untreated1.bam (single-end reads) and untreated3.bam (paired-end reads) from "Pasilla" experiment (Pasilla knock-down by Brooks et al., Genome Research 2011). See the vignette in the pasilla data package for how BAM files untreated1.bam and untreated3.bam were obtained from the RNA-Seq read sequence data that is provided by NCBI Gene Expression Omnibus under accession numbers GSM461176 to GSM461181. Also contains the DNA sequence for fly chromosome 4 to which the reads can be mapped. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData Author: Hervé Pagès Maintainer: Hervé Pagès git_url: https://git.bioconductor.org/packages/pasillaBamSubset git_branch: RELEASE_3_20 git_last_commit: 2c68949 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/pasillaBamSubset_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: APAlyzer, DEXSeq, GenomicAlignments, GenomicFeatures, GenomicRanges, IRanges, gmoviz, karyoploteR, plyranges dependencyCount: 0 Package: PasillaTranscriptExpr Version: 1.34.0 Depends: R (>= 3.3.0) Suggests: rtracklayer, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: e997161d6ee94ee6a080e6b9a1665572 NeedsCompilation: no Title: Data package with transcript expression obtained with kallisto from pasilla knock-down RNA-Seq data from Brooks et al. Description: Provides kallisto workflow and transcript expression of RNA-Seq data from Brooks et al. biocViews: Drosophila_melanogaster_Data, Genome, RNASeqData, ExperimentData, SequencingData, ExpressionData, GEO Author: Malgorzata Nowicka [aut, cre] Maintainer: Malgorzata Nowicka VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/PasillaTranscriptExpr git_branch: RELEASE_3_20 git_last_commit: 1f3dc24 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/PasillaTranscriptExpr_1.34.0.tar.gz vignettes: vignettes/PasillaTranscriptExpr/inst/doc/PasillaTranscriptExpr.pdf vignetteTitles: Generation of transcript counts from pasilla dataset with kallisto hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/PasillaTranscriptExpr/inst/doc/PasillaTranscriptExpr.R suggestsMe: DRIMSeq dependencyCount: 0 Package: PathNetData Version: 1.42.0 Depends: R (>= 1.14.0) License: GPL-3 MD5sum: a253ad75c30b3b91a5069d7f270d16da NeedsCompilation: no Title: Experimental data for the PathNet package Description: This package contains the data employed in the vignette of the PathNet package. These data belong to the following publication: PathNet: A tool for pathway analysis using topological information. Dutta B, Wallqvist A, and Reifman J., Source Code for Biology and Medicine 2012 Sep 24;7(1):10. biocViews: ExperimentData, PathwayInteractionDatabase Author: Bhaskar Dutta , Anders Wallqvist , and Jaques Reifman Maintainer: Ludwig Geistlinger git_url: https://git.bioconductor.org/packages/PathNetData git_branch: RELEASE_3_20 git_last_commit: 3c40a7b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PathNetData_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PathNet dependencyCount: 0 Package: PCHiCdata Version: 1.34.0 Depends: R (>= 3.2), Chicago Suggests: testthat, BiocStyle, knitr License: Artistic-2.0 MD5sum: 77d9d2d9ac8fb77a6c4824c15a0cac64 NeedsCompilation: no Title: Promoter Capture Hi-C data Description: Subsets of Promoter Capture Hi-C data conveniently packaged for Chicago users. Data includes interactions detected for chromosomes 20 and 21 in GM12878 cells and for chromosomes 18 and 19 in mESC. biocViews: ExperimentData, SequencingData, Homo_sapiens_Data, Mus_musculus_Data, StemCell Author: Paula Freire-Pritchett, Jonathan Cairns, Steven Wingett, Mikhail Spivakov Maintainer: Mikhail Spivakov VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/PCHiCdata git_branch: RELEASE_3_20 git_last_commit: 51fe318 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PCHiCdata_1.34.0.tar.gz vignettes: vignettes/PCHiCdata/inst/doc/PCHiCdata.html vignetteTitles: PCHiCdata Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/PCHiCdata/inst/doc/PCHiCdata.R suggestsMe: Chicago dependencyCount: 77 Package: pd.atdschip.tiling Version: 0.44.0 Depends: R (>= 3.5.0), methods, RSQLite (>= 0.10.0), oligoClasses (>= 1.15.58), oligo (>= 1.17.3), DBI Imports: Biostrings (>= 2.21.11), IRanges (>= 1.11.31), S4Vectors License: Artistic-2.0 MD5sum: 738e3686e09fe6833e550da18e79328a NeedsCompilation: no Title: Platform Design Info for Affymetrix Atdschip_tiling Description: Platform Design Info for Affymetrix Atdschip_tiling biocViews: Arabidopsis_thaliana_Data, MicroarrayData, SNPData Author: Kristof De Beuf Maintainer: Kristof De Beuf git_url: https://git.bioconductor.org/packages/pd.atdschip.tiling git_branch: RELEASE_3_20 git_last_commit: 9496d4c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/pd.atdschip.tiling_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 64 Package: pepDat Version: 1.26.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: knitr License: Artistic-2.0 MD5sum: 36b1a23bdd2410788bba91e2c156e869 NeedsCompilation: no Title: Peptide microarray data package Description: Provides sample files and data for the vignettes of pepStat and Pviz as well as peptide collections for HIV and SIV. biocViews: MicroarrayData Author: Renan Sauteraud, Raphael Gottardo Maintainer: Renan Sauteraud VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/pepDat git_branch: RELEASE_3_20 git_last_commit: c43329a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/pepDat_1.26.0.tar.gz vignettes: vignettes/pepDat/inst/doc/pepDat.pdf vignetteTitles: The pepDat users guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pepDat/inst/doc/pepDat.R suggestsMe: Pviz, pepStat dependencyCount: 23 Package: PepsNMRData Version: 1.24.0 Depends: R (>= 3.5) Suggests: knitr, markdown, rmarkdown, BiocStyle License: GPL-2 | file LICENSE MD5sum: 015d1ec6d08d8544d1d1c21de64d61ac NeedsCompilation: no Title: Datasets for the PepsNMR package Description: This package contains all the datasets used in the PepsNMR package. biocViews: ExperimentData, OrganismData, Homo_sapiens_Data Author: Manon Martin [aut, cre], Bernadette Govaerts [aut, ths], Pascal de Tullio [dtc] Maintainer: Manon Martin BugReports: https://github.com/ManonMartin/PepsNMRData/issues git_url: https://git.bioconductor.org/packages/PepsNMRData git_branch: RELEASE_3_20 git_last_commit: b658981 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PepsNMRData_1.24.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: PepsNMR dependencyCount: 0 Package: PhyloProfileData Version: 1.20.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, Biostrings, BiocStyle Suggests: knitr, rmarkdown, markdown License: MIT + file LICENSE MD5sum: c90f4558af49b28657028abe5d402f4f NeedsCompilation: yes Title: Data package for phylogenetic profile analysis using PhyloProfile tool Description: Two experimental datasets to illustrate running and analysing phylogenetic profiles with PhyloProfile package. biocViews: ExperimentData, ReproducibleResearch, ExperimentHub Author: Vinh Tran [aut, cre], Ingo Ebersberger [aut], Hannah Mülbaier [ctb], Arpit Jain [ctb] Maintainer: Vinh Tran URL: https://github.com/BIONF/PhyloProfileData VignetteBuilder: knitr BugReports: https://github.com/trvinh/PhyloProfileData/issues git_url: https://git.bioconductor.org/packages/PhyloProfileData git_branch: RELEASE_3_20 git_last_commit: 6a9a4da git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PhyloProfileData_1.20.0.tar.gz vignettes: vignettes/PhyloProfileData/inst/doc/PhyloProfileData.html vignetteTitles: PhyloProfileData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/PhyloProfileData/inst/doc/PhyloProfileData.R dependencyCount: 83 Package: plotgardenerData Version: 1.12.0 Depends: R (>= 4.1.0) Suggests: rmarkdown, knitr License: MIT + file LICENSE MD5sum: 4404a379e2a65bf165af4d5e434341ca NeedsCompilation: no Title: Datasets and test data files for the plotgardener package Description: This is a supplemental data package for the plotgardener package. Includes example datasets used in plotgardener vignettes and example raw data files. For details on how to use these datasets, see the plotgardener package vignettes. biocViews: ExperimentData, Homo_sapiens_Data, ExpressionData, Genome, ChIPSeqData, ENCODE Author: Nicole Kramer [aut, cre] () Maintainer: Nicole Kramer URL: https://github.com/PhanstielLab/plotgardenerData, https://phanstiellab.github.io/plotgardener VignetteBuilder: knitr BugReports: https://github.com/PhanstielLab/plotgardenerData/issues git_url: https://git.bioconductor.org/packages/plotgardenerData git_branch: RELEASE_3_20 git_last_commit: 5cb4d78 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/plotgardenerData_1.12.0.tar.gz vignettes: vignettes/plotgardenerData/inst/doc/plotgardenerData.html vignetteTitles: plotgardenerData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/plotgardenerData/inst/doc/plotgardenerData.R suggestsMe: plotgardener dependencyCount: 0 Package: prebsdata Version: 1.42.0 Depends: R (>= 2.14.0) License: Artistic-2.0 MD5sum: fbab2ecd59d9a1dc6f3e106f8ad9ffc4 NeedsCompilation: no Title: Data for 'prebs' package Description: This package contains data required to run examples in 'prebs' package. The data files include: 1) Small sample bam files for demonstration purposes 2) Probe sequence mappings for Custom CDF (taken from http://brainarray.mbni.med.umich.edu/brainarray/Database/CustomCDF/genomic_curated_CDF.asp) 3) Probe sequence mappings for manufacturer's CDF (manually created using bowtie) biocViews: ExperimentData, SequencingData, RNASeqData Author: Karolis Uziela and Antti Honkela Maintainer: Karolis Uziela git_url: https://git.bioconductor.org/packages/prebsdata git_branch: RELEASE_3_20 git_last_commit: 53d1ffc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prebsdata_1.42.0.tar.gz vignettes: vignettes/prebsdata/inst/doc/prebsdata.pdf vignetteTitles: prebsdata User Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SigFuge, prebs dependencyCount: 0 Package: preciseTADhub Version: 1.14.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: knitr, rmarkdown, markdown, BiocStyle, preciseTAD License: MIT + file LICENSE MD5sum: 695ed7dbc12e20c3f6bd9484fdfb309b NeedsCompilation: no Title: Pre-trained random forest models obtained using preciseTAD Description: An experimentdata package to supplement the preciseTAD package containing pre-trained models and the variable importances of each genomic annotation used to build the model parsed into list objects and available in ExperimentHub. In total, preciseTADhub provides access to n=84 random forest classification models optimized to predict TAD/chromatin loop boundary regions and stored as .RDS files. The value, n, comes from the fact that we considered l=2 cell lines {GM12878, K562}, g=2 ground truth boundaries {Arrowhead, Peakachu}, and c=21 autosomal chromosomes {CHR1, CHR2, ..., CHR22} (omitting CHR9). Furthermore, each object is itself a two-item list containing: (1) the model object, and (2) the variable importances for CTCF, RAD21, SMC3, and ZNF143 used to predict boundary regions. Each model is trained via a "holdout" strategy, in which data from chromosomes {CHR1, CHR2, ..., CHRi-1, CHRi+1, ..., CHR22} were used to build the model and the ith chromosome was reserved for testing. See https://doi.org/10.1101/2020.09.03.282186 for more detail on the model building strategy. biocViews: ExperimentData, PackageTypeData, ExperimentHub, Genome Author: Spiro Stilianoudakis [aut], Mikhail Dozmorov [aut, cre] Maintainer: Mikhail Dozmorov URL: https://github.com/dozmorovlab/preciseTADhub VignetteBuilder: knitr BugReports: https://github.com/dozmorovlab/preciseTADhub/issues git_url: https://git.bioconductor.org/packages/preciseTADhub git_branch: RELEASE_3_20 git_last_commit: 6fb7452 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/preciseTADhub_1.14.0.tar.gz vignettes: vignettes/preciseTADhub/inst/doc/preciseTADhub.html vignetteTitles: preciseTADhub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/preciseTADhub/inst/doc/preciseTADhub.R dependencyCount: 67 Package: PREDAsampledata Version: 0.46.0 Depends: R (>= 2.10.0), methods, PREDA, Biobase, affy, annotate Suggests: hgu133plus2.db, hgu133plus2cdf License: Artistic-2.0 MD5sum: 05358c3ac8d86e34a872c1105f66fc33 NeedsCompilation: no Title: expression and copy number data on clear cell renal carcinoma samples Description: Sample data for PREDA package. (annotations objects synchronized with GeneAnnot custom CDFs version 2.2.0) biocViews: ExperimentData, Tissue, CancerData, KidneyCancerData, MicroarrayData, TissueMicroarrayData, ArrayExpress Author: I. Cifola et al. in Cristina Battaglia Lab, University of Milan Maintainer: Francesco Ferrari git_url: https://git.bioconductor.org/packages/PREDAsampledata git_branch: RELEASE_3_20 git_last_commit: 94adafc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PREDAsampledata_0.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PREDA dependencyCount: 62 Package: ProData Version: 1.44.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL MD5sum: 6ada21309a6f88bf79e69a563a8b4c86 NeedsCompilation: no Title: SELDI-TOF data of Breast cancer samples Description: A data package of SELDI-TOF protein mass spectrometry data of 167 breast cancer and normal samples. biocViews: ExperimentData, CancerData, BreastCancerData, MassSpectrometryData, NCI Author: Xiaochun Li Maintainer: Xiaochun Li git_url: https://git.bioconductor.org/packages/ProData git_branch: RELEASE_3_20 git_last_commit: f45bd39 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ProData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CorrectedFDR dependencyCount: 6 Package: pRolocdata Version: 1.44.0 Depends: R (>= 3.6.3), MSnbase Imports: Biobase, utils Suggests: pRoloc (>= 1.13.8), testthat, SummarizedExperiment License: GPL-2 MD5sum: 3a5b9d9bf4fe38873a4b16eeb7f73d29 NeedsCompilation: no Title: Data accompanying the pRoloc package Description: Mass-spectrometry based spatial proteomics data sets and protein complex separation data. Also contains the time course expression experiment from Mulvey et al. 2015. biocViews: ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, Mus_musculus_Data, StemCell, Proteome Author: Laurent Gatto [aut, cre] (), Oliver Crook [aut] (), Lisa Breckels [aut] () Maintainer: Laurent Gatto URL: https://github.com/lgatto/pRolocdata BugReports: https://github.com/lgatto/pRolocdata/issues git_url: https://git.bioconductor.org/packages/pRolocdata git_branch: RELEASE_3_20 git_last_commit: 56b6486 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/pRolocdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: bandle suggestsMe: MSnbase, pRolocGUI, pRoloc, RforProteomics dependencyCount: 137 Package: prostateCancerCamcap Version: 1.34.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 5dfbd00d06352a039fbc0c1a91837731 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Ross-Adams (2015) Prostate Cancer dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerCamcap git_branch: RELEASE_3_20 git_last_commit: 711ff2b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prostateCancerCamcap_1.34.0.tar.gz vignettes: vignettes/prostateCancerCamcap/inst/doc/prostateCancerCamcap.pdf vignetteTitles: prostateCancerCamcap hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerCamcap/inst/doc/prostateCancerCamcap.R dependencyCount: 6 Package: prostateCancerGrasso Version: 1.34.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 7c020aa40d54f0633ed989b8de1126af NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Grasso (2012) Prostate Cancer dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerGrasso git_branch: RELEASE_3_20 git_last_commit: 05501d7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prostateCancerGrasso_1.34.0.tar.gz vignettes: vignettes/prostateCancerGrasso/inst/doc/prostateCancerGrasso.pdf vignetteTitles: prostateCancerGrasso hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerGrasso/inst/doc/prostateCancerGrasso.R dependencyCount: 6 Package: prostateCancerStockholm Version: 1.34.0 Depends: Biobase , R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: dff545fcd888a091cdbce5b71aef45a9 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Stockholm dataset biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerStockholm git_branch: RELEASE_3_20 git_last_commit: 4602ae0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prostateCancerStockholm_1.34.0.tar.gz vignettes: vignettes/prostateCancerStockholm/inst/doc/prostateCancerStockholm.pdf vignetteTitles: prostateCancerStockholm hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerStockholm/inst/doc/prostateCancerStockholm.R dependencyCount: 6 Package: prostateCancerTaylor Version: 1.34.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery, org.Hs.eg.db License: Artistic-2.0 MD5sum: 4f8e97c1c1a342e44b183018b870b508 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Taylor et al (2010) dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerTaylor git_branch: RELEASE_3_20 git_last_commit: 63c9d00 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prostateCancerTaylor_1.34.0.tar.gz vignettes: vignettes/prostateCancerTaylor/inst/doc/prostateCancerTaylor.pdf vignetteTitles: prostateCancerTaylor hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerTaylor/inst/doc/prostateCancerTaylor.R dependencyCount: 6 Package: prostateCancerVarambally Version: 1.34.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: fb2f47a16abe1e3bba18ad518a17815f NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Varambally dataset biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerVarambally git_branch: RELEASE_3_20 git_last_commit: 49a0b80 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/prostateCancerVarambally_1.34.0.tar.gz vignettes: vignettes/prostateCancerVarambally/inst/doc/prostateCancerVarambally.pdf vignetteTitles: prostateCancerVarambally hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerVarambally/inst/doc/prostateCancerVarambally.R dependencyCount: 6 Package: ProteinGymR Version: 1.0.0 Depends: R (>= 4.4.0) Imports: ExperimentHub, dplyr, forcats, ggdist, gghalves, ggplot2, purrr, queryup, spdl, tidyr, tidyselect Suggests: ComplexHeatmap, AnnotationHub, tibble, stringr, BiocStyle, knitr, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: d7be5eeec1cc0645e89670a68fcef3d3 NeedsCompilation: no Title: Programmatic access to ProteinGym datasets in R/Bioconductor Description: The ProteinGymR package provides analysis-ready data resources from ProteinGym, generated by Notin et al., 2023. ProteinGym comprises a collection of benchmarks for evaluating the performance of models predicting the effect of point mutations. This package provides access to 1. Deep mutational scanning (DMS) scores from 217 assays measuring the impact of all possible amino acid substitutions across 186 proteins, 2. AlphaMissense pathogenicity scores for ~1.6 M substitutions in the ProteinGym DMS data, and 3. five performance metrics for 62 variant prediction models in a zero-shot setting. biocViews: ExperimentData, ExperimentHub, PackageTypeData, Homo_sapiens_Data, ReproducibleResearch, CellCulture, SequencingData, Proteome Author: Tram Nguyen [aut, cre] (), Pascal Notin [aut], Aaron Kollasch [aut], Debora Marks [aut], Ludwig Geistlinger [aut] Maintainer: Tram Nguyen URL: https://github.com/ccb-hms/ProteinGymR VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/ProteinGymR/issues git_url: https://git.bioconductor.org/packages/ProteinGymR git_branch: RELEASE_3_20 git_last_commit: e719220 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ProteinGymR_1.0.0.tar.gz vignettes: vignettes/ProteinGymR/inst/doc/data_import_and_representation.html vignetteTitles: Data access and visualization hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ProteinGymR/inst/doc/data_import_and_representation.R dependencyCount: 94 Package: ptairData Version: 1.14.0 Imports: rhdf5, signal, stats, graphics Suggests: knitr, rmarkdown, testthat, BiocStyle License: GPL-3 MD5sum: 0197eba91d104f6fad9cd91e98f7c03b NeedsCompilation: no Title: PTR-TOF-MS volatolomics raw datasets from exhaled air and cell culture headspace Description: The package ptairData contains two raw datasets from Proton-Transfer-Reaction Time-of-Flight mass spectrometer acquisitions (PTR-TOF-MS), in the HDF5 format. One from the exhaled air of two volunteer healthy individuals with three replicates, and one from the cell culture headspace from two mycobacteria species and one control (culture medium only) with two replicates. Those datasets are used in the examples and in the vignette of the ptairMS package (PTR-TOF-MS data pre-processing). There are also used to gererate the ptrSet in the ptairMS data : exhaledPtrset and mycobacteriaSet biocViews: ExperimentData, MassSpectrometryData, CellCulture Author: camille Roquencourt [aut, cre] Maintainer: camille Roquencourt VignetteBuilder: knitr BugReports: https://github.com/camilleroquencourt/ptairData/issues git_url: https://git.bioconductor.org/packages/ptairData git_branch: RELEASE_3_20 git_last_commit: aedc601 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ptairData_1.14.0.tar.gz vignettes: vignettes/ptairData/inst/doc/ptairData_vignette.html vignetteTitles: PTR-TOF-MS dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ptairData/inst/doc/ptairData_vignette.R suggestsMe: ptairMS dependencyCount: 10 Package: PtH2O2lipids Version: 1.32.0 Depends: R (>= 3.3), xcms, CAMERA, LOBSTAHS, methods, utils Suggests: gplots, RColorBrewer, cluster, vegan License: MIT + file LICENSE MD5sum: 2136bebfb44a436fdb84d3e40f8bf23a NeedsCompilation: no Title: P. tricornutum HPLC-ESI-MS Lipid Data from van Creveld et al. (2015) Description: Annotated HPLC-ESI-MS lipid data in positive ionization mode from an experiment in which cultures of the marine diatom Phaeodactylum tricornutum were treated with various concentrations of hydrogen peroxide (H2O2) to induce oxidative stress. The experiment is described in Graff van Creveld, et al., 2015, "Early perturbation in mitochondria redox homeostasis in response to environmental stress predicts cell fate in diatoms," ISME Journal 9:385-395. PtH2O2lipids consists of two objects: A CAMERA xsAnnotate object (ptH2O2lipids$xsAnnotate) and LOBSTAHS LOBSet object (ptH2O2lipids$xsAnnotate$LOBSet). The LOBSet includes putative compound assignments from the default LOBSTAHS database. Isomer annotation is recorded in three other LOBSet slots. biocViews: ReproducibleResearch, CellCulture, MassSpectrometryData, Phaeodactylum_tricornutum_data Author: Shiri Graff van Creveld [aut], Shilo Rosenwasser [aut], Daniella Schatz [aut], Ilan Koren [aut], Assaf Vardi [aut], James Collins [cre] Maintainer: James Collins URL: http://dx.doi.org/10.1038/ismej.2014.136, https://github.com/vanmooylipidomics/PtH2O2lipids, http://www.whoi.edu/page.do?pid=133616&tid=282&cid=192529 BugReports: https://github.com/vanmooylipidomics/PtH2O2lipids/issues/new git_url: https://git.bioconductor.org/packages/PtH2O2lipids git_branch: RELEASE_3_20 git_last_commit: 3d7e8d0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PtH2O2lipids_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: LOBSTAHS dependencyCount: 162 Package: pumadata Version: 2.42.0 Depends: R (>= 3.2.0), Biobase (>= 2.5.5),puma, oligo(>= 1.32.0) License: LGPL MD5sum: 1ea3a80569c46dd7c018c794284601f2 NeedsCompilation: no Title: Various data sets for use with the puma package Description: This is a simple data package including various data sets derived from the estrogen data for use with the puma (Propagating Uncertainty in Microarray Analysis) package. biocViews: ExperimentData, MicroarrayData, SNPData Author: Richard Pearson Maintainer: Xuejun liu URL: http://umber.sbs.man.ac.uk/resources/puma git_url: https://git.bioconductor.org/packages/pumadata git_branch: RELEASE_3_20 git_last_commit: 766fc68 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/pumadata_2.42.0.tar.gz vignettes: vignettes/pumadata/inst/doc/pumadata.pdf vignetteTitles: pumadata User Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pumadata/inst/doc/pumadata.R suggestsMe: puma dependencyCount: 67 Package: PWMEnrich.Dmelanogaster.background Version: 4.40.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: a8ce5a506cb9ccc09eb0e2825728b13d NeedsCompilation: no Title: D. melanogaster background for PWMEnrich Description: PWMEnrich pre-compiled background objects for Drosophila melanogaster and MotifDb D. melanogaster motifs. biocViews: Drosophila_melanogaster_Data Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Dmelanogaster.background git_branch: RELEASE_3_20 git_last_commit: 921f0bc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PWMEnrich.Dmelanogaster.background_4.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 31 Package: PWMEnrich.Hsapiens.background Version: 4.40.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: 53e1366ff04f7bb46e6e74958adabd0a NeedsCompilation: no Title: H. sapiens background for PWMEnrich Description: PWMEnrich pre-compiled background objects for H. sapiens (human) and MotifDb H. sapiens motifs. biocViews: Homo_sapiens_Data, CGHData Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Hsapiens.background git_branch: RELEASE_3_20 git_last_commit: a72eda4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PWMEnrich.Hsapiens.background_4.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 31 Package: PWMEnrich.Mmusculus.background Version: 4.40.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: b26f2429a164aa6030315248fc874210 NeedsCompilation: no Title: M. musculus background for PWMEnrich Description: PWMEnrich pre-compiled background objects for M.musculus (mouse) and MotifDb M. musculus motifs. biocViews: Mus_musculus_Data Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Mmusculus.background git_branch: RELEASE_3_20 git_last_commit: f935125 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/PWMEnrich.Mmusculus.background_4.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 31 Package: QDNAseq.hg19 Version: 1.36.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 465422a4f1297d961ebd5ed5be39228d NeedsCompilation: no Title: QDNAseq bin annotation for hg19 Description: This package provides QDNAseq bin annotations for the human genome build hg19. biocViews: ExperimentData, OrganismData, Homo_sapiens_Data Author: Daoud Sie [aut, cre] Maintainer: Daoud Sie URL: https://github.com/tgac-vumc/QDNAseq.hg19 BugReports: https://github.com/tgac-vumc/QDNAseq.hg19/issues git_url: https://git.bioconductor.org/packages/QDNAseq.hg19 git_branch: RELEASE_3_20 git_last_commit: 0f775c2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/QDNAseq.hg19_1.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: QDNAseq, biscuiteer dependencyCount: 59 Package: QDNAseq.mm10 Version: 1.36.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 777629429e38d4c424de62579fa35b3b NeedsCompilation: no Title: Bin annotation mm10 Description: This package provides QDNAseq bin annotations for the mouse genome build mm10. biocViews: ExperimentData, OrganismData, Mus_musculus_Data Author: Daoud Sie [aut, cre] Maintainer: Daoud Sie URL: https://github.com/tgac-vumc/QDNAseq.mm10 BugReports: https://github.com/tgac-vumc/QDNAseq.mm10/issues git_url: https://git.bioconductor.org/packages/QDNAseq.mm10 git_branch: RELEASE_3_20 git_last_commit: 834e4cc git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/QDNAseq.mm10_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: QDNAseq, biscuiteer dependencyCount: 59 Package: qPLEXdata Version: 1.24.0 Depends: R (>= 3.5), qPLEXanalyzer Imports: utils, knitr, MSnbase, dplyr Suggests: statmod License: GPL-2 MD5sum: 91470ae70dda6162161bd64ffb7cb9b2 NeedsCompilation: no Title: Data accompanying qPLEXanalyzer package Description: qPLEX-RIME and Full proteome TMT mass spectrometry datasets. biocViews: ExperimentData, MassSpectrometryData, Proteome Author: Kamal Kishore Developer [aut, cre] Maintainer: Kamal Kishore Developer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/qPLEXdata git_branch: RELEASE_3_20 git_last_commit: 5f09968 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/qPLEXdata_1.24.0.tar.gz vignettes: vignettes/qPLEXdata/inst/doc/qPLEXdata.pdf vignetteTitles: qPLEXdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/qPLEXdata/inst/doc/qPLEXdata.R suggestsMe: qPLEXanalyzer dependencyCount: 150 Package: QUBICdata Version: 1.34.0 Depends: R (>= 3.1) Suggests: knitr, rmarkdown License: Unlimited | file LICENSE MD5sum: c69aac772f8adcd444c82b2fa37605e1 NeedsCompilation: no Title: Data employed in the vignette of the QUBIC package Description: The data employed in the vignette of the QUBIC package. These data belong to Many Microbe Microarrays Database and STRING v10. biocViews: Escherichia_coli_Data, OrganismData, ExperimentData Author: Yu Zhang [aut, cre], Qin Ma [aut] Maintainer: Yu Zhang URL: http://github.com/zy26/QUBICdata VignetteBuilder: knitr BugReports: http://github.com/zy26/QUBICdata/issues git_url: https://git.bioconductor.org/packages/QUBICdata git_branch: RELEASE_3_20 git_last_commit: fad288a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/QUBICdata_1.34.0.tar.gz vignettes: vignettes/QUBICdata/inst/doc/qubic_data_vignette.pdf vignetteTitles: QUBIC Data Tutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/QUBICdata/inst/doc/qubic_data_vignette.R suggestsMe: QUBIC dependencyCount: 0 Package: raerdata Version: 1.4.0 Imports: ExperimentHub, Rsamtools, BiocGenerics, rtracklayer, SingleCellExperiment Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0) License: MIT + file LICENSE MD5sum: d23f3d1df443467be1f57d2e9c6f4deb NeedsCompilation: no Title: A collection of datasets for use with raer package Description: raerdata is an ExperimentHub package that provides a collection of files useful for demostrating functionality in the raer package. Datasets include 10x genomics scRNA-seq, bulk RNA-seq, and paired whole-genome and RNA-seq data. Additionally databases of human and mouse RNA editing sites are provided. biocViews: SingleCellData, SequencingData, RNASeqData, ExperimentHub, PackageTypeData, ExpressionData Author: Kent Riemondy [aut, cre] () Maintainer: Kent Riemondy URL: https://github.com/rnabioco/raerdata VignetteBuilder: knitr BugReports: https://github.com/rnabioco/raerdata/issues git_url: https://git.bioconductor.org/packages/raerdata git_branch: RELEASE_3_20 git_last_commit: 6723430 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/raerdata_1.4.0.tar.gz vignettes: vignettes/raerdata/inst/doc/raerdata.html vignetteTitles: raerdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/raerdata/inst/doc/raerdata.R suggestsMe: raer dependencyCount: 98 Package: rcellminerData Version: 2.28.0 Depends: R (>= 3.5.0), Biobase Suggests: knitr, testthat, BiocStyle, rcellminer, rmarkdown License: LGPL-3 + file LICENSE MD5sum: bd3a4c4313595d2fdff46bcbafd61eca NeedsCompilation: no Title: rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines Description: The NCI-60 cancer cell line panel has been used over the course of several decades as an anti-cancer drug screen. This panel was developed as part of the Developmental Therapeutics Program (DTP, http://dtp.nci.nih.gov/) of the U.S. National Cancer Institute (NCI). Thousands of compounds have been tested on the NCI-60, which have been extensively characterized by many platforms for gene and protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose of the CellMiner project (http://discover.nci.nih.gov/ cellminer) has been to integrate data from multiple platforms used to analyze the NCI-60 and to provide a powerful suite of tools for exploration of NCI-60 data. biocViews: CancerData, CopyNumberVariationData, ExpressionData, SNPData, NCI, MicroarrayData, miRNAData Author: Augustin Luna, Vinodh Rajapakse, Fabricio Sousa Maintainer: Augustin Luna , Vinodh Rajapakse , Fathi Elloumi VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/rcellminerData git_branch: RELEASE_3_20 git_last_commit: f54392c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/rcellminerData_2.28.0.tar.gz vignettes: vignettes/rcellminerData/inst/doc/rcellminerDataUsage.html vignetteTitles: Accessing CellMiner Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/rcellminerData/inst/doc/rcellminerDataUsage.R dependsOnMe: rcellminer dependencyCount: 6 Package: RcisTarget.hg19.motifDBs.cisbpOnly.500bp Version: 1.26.0 Depends: R (>= 3.3) Imports: data.table License: GPL-3 MD5sum: f95b8be5e180ae1207c328a9255145f4 NeedsCompilation: no Title: RcisTarget motif databases for human (hg19) - Subset of 4.6k motifs Description: RcisTarget databases: Gene-based motif rankings and annotation to transcription factors. This package contains a subset of 4.6k motifs (cisbp motifs), scored only within 500bp upstream and the TSS. See RcisTarget tutorial to download the full databases, containing 20k motifs and search space up to 10kbp around the TSS. biocViews: Homo_sapiens_Data Author: Sara Aibar, Gert Hulselmans, Stein Aerts. Laboratory of Computational Biology, KU Leuven Center for Human Genetics. Leuven, Belgium. Maintainer: Sara Aibar URL: http://scenic.aertslab.org git_url: https://git.bioconductor.org/packages/RcisTarget.hg19.motifDBs.cisbpOnly.500bp git_branch: RELEASE_3_20 git_last_commit: 5e58e84 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RcisTarget.hg19.motifDBs.cisbpOnly.500bp_1.26.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RcisTarget dependencyCount: 2 Package: ReactomeGSA.data Version: 1.20.0 Depends: R (>= 3.6), limma, edgeR, ReactomeGSA, Seurat License: Artistic-2.0 MD5sum: f81cfbbd26d41eb728363bdc5b8d2f8c NeedsCompilation: no Title: Companion data package for the ReactomeGSA package Description: Companion data sets to showcase the functionality of the ReactomeGSA package. This package contains proteomics and RNA-seq data of the melanoma B-cell induction study by Griss et al. and scRNA-seq data from Jerby-Arnon et al. biocViews: ExpressionData, RNASeqData, Proteome, Homo_sapiens_Data Author: Johannes Griss [aut, cre] () Maintainer: Johannes Griss URL: https://github.com/reactome/ReactomeGSA.data/issues BugReports: https://github.com/reactome/ReactomeGSA.data git_url: https://git.bioconductor.org/packages/ReactomeGSA.data git_branch: RELEASE_3_20 git_last_commit: d535158 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/ReactomeGSA.data_1.20.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ReactomeGSA dependencyCount: 165 Package: RegParallel Version: 1.24.0 Depends: doParallel, foreach, parallel, iterators, data.table, stringr, survival, arm, stats, utils, methods Suggests: RUnit, BiocGenerics, knitr, DESeq2, airway, magrittr, Biobase, GEOquery, biomaRt, survminer, survey, rmarkdown License: GPL-3 MD5sum: dc949c5ebd514bd0020a203585bba26b NeedsCompilation: no Title: Standard regression functions in R enabled for parallel processing over large data-frames Description: In many analyses, a large amount of variables have to be tested independently against the trait/endpoint of interest, and also adjusted for covariates and confounding factors at the same time. The major bottleneck in these is the amount of time that it takes to complete these analyses. With RegParallel, a large number of tests can be performed simultaneously. On a 12-core system, 144 variables can be tested simultaneously, with 1000s of variables processed in a matter of seconds via 'nested' parallel processing. Works for logistic regression, linear regression, conditional logistic regression, Cox proportional hazards and survival models, and Bayesian logistic regression. Also caters for generalised linear models that utilise survey weights created by the 'survey' CRAN package and that utilise 'survey::svyglm'. biocViews: DiseaseModel Author: Kevin Blighe [aut, cre], Sarega Gurudas [ctb], Jessica Lasky-Su [aut] Maintainer: Kevin Blighe URL: https://github.com/kevinblighe/RegParallel VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RegParallel git_branch: RELEASE_3_20 git_last_commit: 222f5fa git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RegParallel_1.24.0.tar.gz vignettes: vignettes/RegParallel/inst/doc/RegParallel.html vignetteTitles: Standard regression functions in R enabled for parallel processing over large data-frames hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RegParallel/inst/doc/RegParallel.R dependencyCount: 36 Package: RforProteomics Version: 1.44.0 Depends: R (>= 3.5), MSnbase (>= 2.5.3) Imports: R.utils, biocViews, BiocManager Suggests: AnnotationDbi, rpx (>= 2.0.3), DT, knitr, rmarkdown, BiocStyle, mzR, xcms, msdata, MALDIquant (>= 1.12), MALDIquantForeign, readBrukerFlexData, Rdisop, OrgMassSpecR, SummarizedExperiment, BRAIN, rols, hpar, GO.db, org.Hs.eg.db, e1071, biomaRt, RColorBrewer, ggplot2, reshape2, xtable, lattice, mzID, pRoloc, pRolocdata, MSnID, msmsTests, msmsEDA, DEP, corrplot, beanplot, Heatplus, gplots, VennDiagram, protViz, genefilter, plotly, gridExtra, dplyr, lubridate, magick, cleaver License: Artistic-2.0 MD5sum: 8c73b19d4642edded08e28a0c194d2e1 NeedsCompilation: no Title: Companion package to the 'Using R and Bioconductor for proteomics data analysis' publication Description: This package contains code to illustrate the 'Using R and Bioconductor for proteomics data analysis' and 'Visualisation of proteomics data using R and Bioconductor' manuscripts. The vignettes describe the code and data needed to reproduce the examples and figures described in the paper and functionality for proteomics visualisation. It also contain various function to discover R software for mass spectrometry and proteomics. biocViews: ExperimentData, MassSpectrometryData, ReproducibleResearch Author: Laurent Gatto [aut, cre], Sebastian Gibb [ctb], Vlad Petyuk [ctb], Thomas Pedersen Lin [ctb] Maintainer: Laurent Gatto URL: http://lgatto.github.com/RforProteomics/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RforProteomics git_branch: RELEASE_3_20 git_last_commit: 7fd9ac9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RforProteomics_1.44.0.tar.gz vignettes: vignettes/RforProteomics/inst/doc/RforProteomics.html, vignettes/RforProteomics/inst/doc/RProtVis.html vignetteTitles: Using R for proteomics data analysis, Visualisation of proteomics data using R and Bioconductor hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RforProteomics/inst/doc/RforProteomics.R, vignettes/RforProteomics/inst/doc/RProtVis.R suggestsMe: MSstatsQC dependencyCount: 146 Package: RGMQLlib Version: 1.26.0 Depends: R(>= 3.4.2) Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 93c5a7fd1d93d309300ab5a679790507 NeedsCompilation: no Title: RGMQLlib, java libraries to run GMQL scala API Description: A package that contains scala libraries to call GMQL from R used by RGMQL package. It contains a scalable data management engine written in Scala programming language. biocViews: ExperimentData,RepositoryData Author: Simone Pallotta [aut, cre], Marco Masseroli [aut] Maintainer: Simone Pallotta URL: http://www.bioinformatics.deib.polimi.it/genomic_computing/GMQL/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RGMQLlib git_branch: RELEASE_3_20 git_last_commit: af5f9e6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RGMQLlib_1.26.0.tar.gz vignettes: vignettes/RGMQLlib/inst/doc/RGMQLlib.pdf vignetteTitles: RGMQLlib: scala Libraries to support GMQL hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: rheumaticConditionWOLLBOLD Version: 1.44.0 Depends: R (>= 2.10.0) Suggests: genefilter, Biobase, hgu133plus2.db License: Artistic-2.0 MD5sum: c9b78e6ccf15509071a4c8b6167eb3eb NeedsCompilation: no Title: Normalized gene expression dataset published by Wollbold et al. [2009] (WOLLBOLD). Description: Normalized gene expression data from rheumatic diseases from study published by Wollbold et al. in 2009, provided as an eSet. biocViews: ExperimentData, Tissue, MicroarrayData, MultiChannelData, ChipOnChipData, TissueMicroarrayData, GEO, ArrayExpress Author: Alejandro Quiroz-Zarate, John Quackenbush Maintainer: Alejandro Quiroz-Zarate URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/rheumaticConditionWOLLBOLD git_branch: RELEASE_3_20 git_last_commit: d15a512 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/rheumaticConditionWOLLBOLD_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RITANdata Version: 1.30.0 Depends: R (>= 4.2) Suggests: knitr License: file LICENSE MD5sum: 5636c146679aece62409941126b1b162 NeedsCompilation: no Title: This package contains reference annotation and network data sets Description: Data such as is contained in the two R data files in this package are required for the RITAN package examples. Users are highly encouraged to use their own or additional resources in conjunction with RITANdata. See the RITAN vignettes and RITAN.md for more information, such as gathering more up-to-date annotation data. biocViews: AnnotationData, Homo_sapiens Author: Michael Zimmermann [aut, cre] Maintainer: Michael Zimmermann VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RITANdata git_branch: RELEASE_3_20 git_last_commit: c493dc7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RITANdata_1.30.0.tar.gz vignettes: vignettes/RITANdata/inst/doc/RITANdata.html vignetteTitles: Vignette Title hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/RITANdata/inst/doc/RITANdata.R importsMe: RITAN dependencyCount: 0 Package: RMassBankData Version: 1.44.0 Suggests: RMassBank License: Artistic-2.0 MD5sum: d1aa782369d4a3b48f49343eaf62fe48 NeedsCompilation: no Title: Test dataset for RMassBank Description: Example spectra, example compound list(s) and an example annotation list for a narcotics dataset; required to test RMassBank. The package is described in the man page for RMassBankData. Includes new XCMS test data. biocViews: ExperimentData, MassSpectrometryData Author: Michael Stravs, Emma Schymanski, Steffen Neumann Maintainer: Michael Stravs, Emma Schymanski git_url: https://git.bioconductor.org/packages/RMassBankData git_branch: RELEASE_3_20 git_last_commit: f0dab4e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RMassBankData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RMassBank dependencyCount: 0 Package: RNAinteractMAPK Version: 1.41.0 Depends: R (>= 2.12.0), sparseLDA, RNAinteract Imports: grid, gdata, MASS, genefilter, methods, fields, utils, lattice, Biobase Suggests: qvalue License: Artistic-2.0 MD5sum: 41bafca51c673429835afbcf60b89454 NeedsCompilation: no Title: Mapping of Signalling Networks through Synthetic Genetic Interaction Analysis by RNAi Description: This package includes all data used in the paper -Mapping of Signalling Networks through Synthetic Genetic Interaction Analysis by RNAi- by Horn, Sandmann, Fischer et al.., Nat. Methods, 2011. The package vignette shows the R code to reproduce all figures in the paper. biocViews: ExperimentData, MicrotitrePlateAssayData, Drosophila_melanogaster_Data, CellCulture Author: Bernd Fischer [aut], Wolfgang Huber [ctb], Mike Smith [cre] Maintainer: Mike Smith git_url: https://git.bioconductor.org/packages/RNAinteractMAPK git_branch: devel git_last_commit: 6068e91 git_last_commit_date: 2023-10-24 Date/Publication: 2024-04-30 source.ver: src/contrib/RNAinteractMAPK_1.41.0.tar.gz vignettes: vignettes/RNAinteractMAPK/inst/doc/RNAinteractMAPK.pdf vignetteTitles: RNAinteractMAPK hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RNAinteractMAPK/inst/doc/RNAinteractMAPK.R suggestsMe: DmelSGI dependencyCount: 71 Package: RNAmodR.Data Version: 1.20.0 Depends: R (>= 3.6), ExperimentHub, ExperimentHubData (>= 1.9.2) Imports: utils Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, sessioninfo, testthat License: Artistic-2.0 MD5sum: 8e591fc2ea8ec1ae80d07ba521b3db26 NeedsCompilation: no Title: Example data for the RNAmodR package Description: RNAmodR.Data contains example data, which is used for vignettes and example workflows in the RNAmodR and dependent packages. biocViews: ExperimentData, SequencingData, RNASeqData Author: Felix G.M. Ernst [aut, cre], Denis L.J. Lafontaine [ctb, fnd] Maintainer: Felix G.M. Ernst URL: https://github.com/FelixErnst/RNAmodR.Data VignetteBuilder: knitr BugReports: https://github.com/FelixErnst/RNAmodR.Data/issues git_url: https://git.bioconductor.org/packages/RNAmodR.Data git_branch: RELEASE_3_20 git_last_commit: 90bfcc6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-05 source.ver: src/contrib/RNAmodR.Data_1.20.0.tar.gz vignettes: vignettes/RNAmodR.Data/inst/doc/RNAmodR.Data.html vignetteTitles: RNAmodR.Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RNAmodR.Data/inst/doc/RNAmodR.Data.R suggestsMe: RNAmodR.AlkAnilineSeq, RNAmodR.ML, RNAmodR.RiboMethSeq, RNAmodR dependencyCount: 126 Package: RNAseqData.HNRNPC.bam.chr14 Version: 0.44.0 Suggests: GenomicAlignments, BiocManager License: LGPL MD5sum: aa012879d391a2c536ccaa7fb16862f7 NeedsCompilation: no Title: Aligned reads from RNAseq experiment: Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells Description: The package contains 8 BAM files, 1 per sequencing run. Each BAM file was obtained by (1) aligning the reads (paired-end) to the full hg19 genome with TopHat2, and then (2) subsetting to keep only alignments on chr14. See accession number E-MTAB-1147 in the ArrayExpress database for details about the experiment, including links to the published study (by Zarnack et al., 2012) and to the FASTQ files. biocViews: ExperimentData, Genome, Homo_sapiens_Data, SequencingData, GEO, NCI, RNASeqData, ArrayExpress Author: Hervé Pagès Maintainer: Hervé Pagès URL: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1147/ git_url: https://git.bioconductor.org/packages/RNAseqData.HNRNPC.bam.chr14 git_branch: RELEASE_3_20 git_last_commit: 0ec876c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RNAseqData.HNRNPC.bam.chr14_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: sequencing suggestsMe: BiocParallel, GenomicAlignments, GenomicFiles, GenomicRanges, Rsamtools, SplicingGraphs, roar dependencyCount: 0 Package: RnaSeqSampleSizeData Version: 1.38.0 Depends: edgeR,R (>= 2.10) Suggests: BiocStyle, knitr License: GPL (>= 2) MD5sum: 806d652a73359e09fe4c124dacb85507 NeedsCompilation: no Title: RnaSeqSampleSizeData Description: RnaSeqSampleSizeData package provides the read counts and dispersion distribution from real RNA-seq experiments. It can be used by RnaSeqSampleSize package to estimate sample size and power for RNA-seq experiment design. biocViews: ExperimentData, CancerData, RNASeqData Author: Shilin Zhao, Chung-I Li, Yan Guo, Quanhu Sheng, Yu Shyr Maintainer: Shilin Zhao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RnaSeqSampleSizeData git_branch: RELEASE_3_20 git_last_commit: 2da55a6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnaSeqSampleSizeData_1.38.0.tar.gz vignettes: vignettes/RnaSeqSampleSizeData/inst/doc/RnaSeqSampleSizeData.pdf vignetteTitles: RnaSeqSampleSizeData: Read counts and dispersion distribution from real data for sample size estimation of RNA-seq experiments hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RnaSeqSampleSizeData/inst/doc/RnaSeqSampleSizeData.R dependsOnMe: RnaSeqSampleSize dependencyCount: 11 Package: RnBeads.hg19 Version: 1.38.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: cb644f72ba6539bec603163702cd0162 NeedsCompilation: no Title: RnBeads.hg19 Description: Automatically generated RnBeads annotation package for the assembly hg19. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.hg19 git_branch: RELEASE_3_20 git_last_commit: dd160fa git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnBeads.hg19_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MAGAR suggestsMe: RnBeads dependencyCount: 23 Package: RnBeads.hg38 Version: 1.38.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 43ecf19a9513772a76d0470d1dae9366 NeedsCompilation: no Title: RnBeads.hg38 Description: RnBeads annotation package for genome assembly hg38. Author: RnBeads Team Maintainer: RnBeads Team git_url: https://git.bioconductor.org/packages/RnBeads.hg38 git_branch: RELEASE_3_20 git_last_commit: a5189c9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnBeads.hg38_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MAGAR suggestsMe: RnBeads dependencyCount: 23 Package: RnBeads.mm10 Version: 2.14.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: ccb483fc635f66ae10551ddb55bcbd3b NeedsCompilation: no Title: RnBeads.mm10 Description: Automatically generated RnBeads annotation package for the assembly mm10. Author: RnBeads Team Maintainer: RnBeads Team git_url: https://git.bioconductor.org/packages/RnBeads.mm10 git_branch: RELEASE_3_20 git_last_commit: b0510db git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnBeads.mm10_2.14.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 23 Package: RnBeads.mm9 Version: 1.38.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: caa3adcbf9caa032ac80937e9f93d1d3 NeedsCompilation: no Title: RnBeads.mm9 Description: Automatically generated RnBeads annotation package for the assembly mm9. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.mm9 git_branch: RELEASE_3_20 git_last_commit: a959acd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnBeads.mm9_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RnBeads dependencyCount: 23 Package: RnBeads.rn5 Version: 1.38.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: e07ef02cf744ae07ef1fa429005280f5 NeedsCompilation: no Title: RnBeads.rn5 Description: Automatically generated RnBeads annotation package for the assembly rn5. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.rn5 git_branch: RELEASE_3_20 git_last_commit: 73c69c3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RnBeads.rn5_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 23 Package: RRBSdata Version: 1.26.0 Depends: R (>= 3.5.0), BiSeq (>= 1.9.2) License: LGPL-3 MD5sum: ac09dd08a5f708241944185cac584cae NeedsCompilation: no Title: An RRBS data set with 12 samples and 10,000 simulated DMRs Description: RRBS data set comprising 12 samples with simulated differentially methylated regions (DMRs). biocViews: ExperimentData, CancerData, SequencingData, CpGIslandData Author: Katja Hebestreit, Hans-Ulrich Klein Maintainer: Katja Hebestreit git_url: https://git.bioconductor.org/packages/RRBSdata git_branch: RELEASE_3_20 git_last_commit: 5a002b9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RRBSdata_1.26.0.tar.gz vignettes: vignettes/RRBSdata/inst/doc/RRBSdata.pdf vignetteTitles: An RRBS data set with 12 samples and 10,,000 simulated DMRs. hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RRBSdata/inst/doc/RRBSdata.R dependencyCount: 92 Package: rRDPData Version: 1.26.0 Depends: rRDP License: GPL-2 MD5sum: fa19b2b3f0f17eca244b65480bce1ddd NeedsCompilation: no Title: Databases for the Default RDP Classifier Description: The package provides the data for the RDP Classifier 2.14 released in August 2023. It contains the latest bacterial and archaeal taxonomy training set No. 19 as described in Wang Q, Cole JR. 2024. Updated RDP taxonomy and RDP Classifier for more accurate taxonomic classification. Microbiol Resour Announc 0:e01063-23. biocViews: SequencingData, MicrobiomeData, RNASeqData Author: Michael Hahsler [aut, cre] (), Nagar Anurag [aut] Maintainer: Michael Hahsler URL: https://github.com/mhahsler/rRDP git_url: https://git.bioconductor.org/packages/rRDPData git_branch: RELEASE_3_20 git_last_commit: e77499c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/rRDPData_1.26.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: rRDP dependencyCount: 27 Package: RTCGA.clinical Version: 20151101.36.0 Depends: R (>= 3.2.0), RTCGA Suggests: rmarkdown, knitr License: GPL-2 MD5sum: cccba079e0c1ad585e69e976dd71927b NeedsCompilation: no Title: Clinical datasets from The Cancer Genome Atlas Project Description: Package provides clinical datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Clinical data format is explained here https://wiki.nci.nih.gov/display/TCGA/Clinical+Data+Overview. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.clinical git_branch: RELEASE_3_20 git_last_commit: b02d84e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.clinical_20151101.36.0.tar.gz vignettes: vignettes/RTCGA.clinical/inst/doc/downloading_clinical_datasets.html vignetteTitles: Using RTCGA to download clinical data as included in RTCGA.clinical hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.clinical/inst/doc/downloading_clinical_datasets.R suggestsMe: RTCGA, TDbasedUFEadv dependencyCount: 129 Package: RTCGA.CNV Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: bb5c72be005d63b713116dca5c820eb2 NeedsCompilation: no Title: CNV (Copy-number variation) datasets from The Cancer Genome Atlas Project Description: Package provides CNV (based on Merge snp) datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Retrieving +Data+Using+the+Data+Matrix. Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Przemyslaw Biecek Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.CNV git_branch: RELEASE_3_20 git_last_commit: b735757 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.CNV_1.34.0.tar.gz vignettes: vignettes/RTCGA.CNV/inst/doc/downloading_cnv_datasets.html, vignettes/RTCGA.CNV/inst/doc/frequency_of_cnv_for_mdm3.html vignetteTitles: Using RTCGA to download CNV data as included in RTCGA.CNV, Using RTCGA to estimate ratio of MDM2 duplications hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.CNV/inst/doc/downloading_cnv_datasets.R, vignettes/RTCGA.CNV/inst/doc/frequency_of_cnv_for_mdm3.R suggestsMe: RTCGA dependencyCount: 129 Package: RTCGA.methylation Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 604a06aaf5996979357d6a255ef8a48e NeedsCompilation: no Title: Methylation datasets from The Cancer Genome Atlas Project Description: Package provides methylation (humanmethylation27) datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/DNA+methylation Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Marcin Kosinski [aut, cre], Witold Chodor [aut] Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.methylation git_branch: RELEASE_3_20 git_last_commit: d8a05e9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.methylation_1.34.0.tar.gz vignettes: vignettes/RTCGA.methylation/inst/doc/downloading_methylation_datasets.html vignetteTitles: Using RTCGA to download methylation data as included in RTCGA.methylation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.methylation/inst/doc/downloading_methylation_datasets.R suggestsMe: RTCGA dependencyCount: 129 Package: RTCGA.miRNASeq Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 559ca4b4c3d24d5f545dbfc0649fdf84 NeedsCompilation: no Title: miRNASeq datasets from The Cancer Genome Atlas Project Description: Package provides miRNASeq datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/miRNASeq#miRNASeq-DataOverview Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.miRNASeq git_branch: RELEASE_3_20 git_last_commit: 9b21d07 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.miRNASeq_1.34.0.tar.gz vignettes: vignettes/RTCGA.miRNASeq/inst/doc/downloading_miRNASeq_datasets.html vignetteTitles: Using RTCGA to download miRNASeq data as included in RTCGA.miRNASeq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.miRNASeq/inst/doc/downloading_miRNASeq_datasets.R suggestsMe: RTCGA dependencyCount: 129 Package: RTCGA.mRNA Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 1adff9c1adfebeee25b3bd907467c3e5 NeedsCompilation: no Title: mRNA datasets from The Cancer Genome Atlas Project Description: Package provides mRNA datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Gene+expression+data Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.mRNA git_branch: RELEASE_3_20 git_last_commit: a78dd07 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.mRNA_1.34.0.tar.gz vignettes: vignettes/RTCGA.mRNA/inst/doc/downloading_mRNA_datasets.html vignetteTitles: Using RTCGA to download mRNA data as included in RTCGA.mRNA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.mRNA/inst/doc/downloading_mRNA_datasets.R suggestsMe: RTCGA dependencyCount: 129 Package: RTCGA.mutations Version: 20151101.36.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: b9efa7c97e496294c8867d9d6f615451 NeedsCompilation: no Title: Mutations datasets from The Cancer Genome Atlas Project Description: Package provides mutations datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Mutations data format is explained here https://wiki.nci.nih.gov/display/TCGA/Mutation+Annotation+Format+(MAF)+Specification. There is extra one column with patients' barcodes. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.mutations git_branch: RELEASE_3_20 git_last_commit: 7ffcab0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.mutations_20151101.36.0.tar.gz vignettes: vignettes/RTCGA.mutations/inst/doc/downloading_mutations_datasets.html vignetteTitles: Using RTCGA to download mutations data as included in RTCGA.mutations hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.mutations/inst/doc/downloading_mutations_datasets.R suggestsMe: RTCGA dependencyCount: 129 Package: RTCGA.PANCAN12 Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 0efe506e10b90bfe638f397568f4ece9 NeedsCompilation: no Title: PanCan 12 from Genome Cancer Browser Description: Package provides clinical, expression, cnv and mutation data from Genome Cancer Browser. biocViews: AnnotationData Author: Przemyslaw Biecek Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.PANCAN12 git_branch: RELEASE_3_20 git_last_commit: 009c22a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.PANCAN12_1.34.0.tar.gz vignettes: vignettes/RTCGA.PANCAN12/inst/doc/pancan12.html vignetteTitles: Using RTCGA.PANCAN12 to compare time to death hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.PANCAN12/inst/doc/pancan12.R suggestsMe: GOpro dependencyCount: 129 Package: RTCGA.rnaseq Version: 20151101.36.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 83acecb23e87c7b053d904279ada3512 NeedsCompilation: no Title: Rna-seq datasets from The Cancer Genome Atlas Project Description: Package provides rna-seq datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Rna-seq data format is explained here https://wiki.nci.nih.gov/display/TCGA/RNASeq+Version+2. Data source is illumina hiseq Level 3 RSEM normalized expression data. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.rnaseq git_branch: RELEASE_3_20 git_last_commit: 1922914 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.rnaseq_20151101.36.0.tar.gz vignettes: vignettes/RTCGA.rnaseq/inst/doc/downloading_rnaseq_datasets.html vignetteTitles: Using RTCGA to download RNAseq data as included in RTCGA.rnaseq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.rnaseq/inst/doc/downloading_rnaseq_datasets.R suggestsMe: RTCGA, TDbasedUFEadv, FSelectorRcpp dependencyCount: 129 Package: RTCGA.RPPA Version: 1.34.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: d1264823bcf1bb89103b73f31c00e376 NeedsCompilation: no Title: RPPA datasets from The Cancer Genome Atlas Project Description: Package provides RPPA datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Protein+Array +Data+Format+Specification?src=search biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.RPPA git_branch: RELEASE_3_20 git_last_commit: ee9b120 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RTCGA.RPPA_1.34.0.tar.gz vignettes: vignettes/RTCGA.RPPA/inst/doc/downloading_RPPA_datasets.html vignetteTitles: Using RTCGA to download RPPA data as included in RTCGA.RPPA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.RPPA/inst/doc/downloading_RPPA_datasets.R suggestsMe: RTCGA dependencyCount: 129 Package: RUVnormalizeData Version: 1.26.0 Depends: R (>= 2.10.0), Biobase License: GPL-3 MD5sum: 01b2d1a2ab2ff4433e5b3f64abdf3f43 NeedsCompilation: no Title: Gender data for the RUVnormalize package Description: Microarray gene expression data from the study of Vawter et al., 2004. biocViews: MicroarrayData Author: Laurent Jacob Maintainer: Laurent Jacob git_url: https://git.bioconductor.org/packages/RUVnormalizeData git_branch: RELEASE_3_20 git_last_commit: 6121f25 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/RUVnormalizeData_1.26.0.tar.gz vignettes: vignettes/RUVnormalizeData/inst/doc/RUVnormalizeData.pdf vignetteTitles: RUVnormalizeData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RUVnormalizeData/inst/doc/RUVnormalizeData.R importsMe: RUVnormalize dependencyCount: 6 Package: sampleClassifierData Version: 1.30.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocStyle License: Artistic-2.0 MD5sum: dbda361a9401f68ae3935368e7555135 NeedsCompilation: no Title: Pre-processed data for use with the sampleClassifier package Description: This package contains two microarray and two RNA-seq datasets that have been preprocessed for use with the sampleClassifier package. The RNA-seq data are derived from Fagerberg et al. (2014) and the Illumina Body Map 2.0 data. The microarray data are derived from Roth et al. (2006) and Ge et al. (2005). biocViews: ExperimentData, ExpressionData, MicroarrayData, SequencingData, RNASeqData, ArrayExpress Author: Khadija El Amrani Maintainer: Khadija El Amrani git_url: https://git.bioconductor.org/packages/sampleClassifierData git_branch: RELEASE_3_20 git_last_commit: 47a4db3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/sampleClassifierData_1.30.0.tar.gz vignettes: vignettes/sampleClassifierData/inst/doc/sampleClassifierData.pdf vignetteTitles: sampleClassifierData Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/sampleClassifierData/inst/doc/sampleClassifierData.R suggestsMe: sampleClassifier dependencyCount: 36 Package: SBGNview.data Version: 1.20.0 Depends: R (>= 3.6) Imports: knitr, rmarkdown, bookdown Suggests: SummarizedExperiment License: AGPL-3 MD5sum: bccffd0ac4bad51dd8d5d2f78b4a84a0 NeedsCompilation: no Title: Supporting datasets for SBGNview package Description: This package contains: 1. A microarray gene expression dataset from a human breast cancer study. 2. A RNA-Seq gene expression dataset from a mouse study on IFNG knockout. 3. ID mapping tables between gene IDs and SBGN-ML file glyph IDs. 4. Percent of orthologs detected in other species of the genes in a pathway. Cutoffs of this percentage for defining if a pathway exists in another species. 5. XML text of SBGN-ML files for all pre-collected pathways. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO, RNASeqData Author: Xiaoxi Dong*, Kovidh Vegesna*, Weijun Luo Maintainer: Weijun Luo VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SBGNview.data git_branch: RELEASE_3_20 git_last_commit: 3c98d25 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SBGNview.data_1.20.0.tar.gz vignettes: vignettes/SBGNview.data/inst/doc/SBGNview.data.vignette.html vignetteTitles: Supporting Datasets for SBGNview Package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SBGNview.data/inst/doc/SBGNview.data.vignette.R dependsOnMe: SBGNview dependencyCount: 32 Package: scaeData Version: 1.2.0 Depends: R (>= 4.4.0) Imports: ExperimentHub Suggests: knitr, rmarkdown, markdown, SingleCellAlleleExperiment, Matrix, BiocStyle License: MIT + file LICENSE MD5sum: bd842cf1587a0264a124ee24ef5025cf NeedsCompilation: no Title: Data Package for SingleCellAlleleExperiment Description: Contains default datasets used by the Bioconductor package SingleCellAlleleExperiment. The raw FASTQ files were sourced from publicly accessible datasets provided by 10x Genomics. Subsequently, our scIGD snakemake workflow was employed to process these FASTQ files. The resulting output from scIGD constitutes to the contents of this data package. biocViews: ExperimentHub, ExperimentData, Homo_sapiens_Data, SingleCellData Author: Ahmad Al Ajami [aut, cre] (), Jonas Schuck [aut] (), Federico Marini [aut] (), Katharina Imkeller [aut] () Maintainer: Ahmad Al Ajami URL: https://github.com/AGImkeller/scaeData VignetteBuilder: knitr BugReports: https://github.com/AGImkeller/scIGD/issues git_url: https://git.bioconductor.org/packages/scaeData git_branch: RELEASE_3_20 git_last_commit: b317d3a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/scaeData_1.2.0.tar.gz vignettes: vignettes/scaeData/inst/doc/scaeData.html vignetteTitles: scaeData User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/scaeData/inst/doc/scaeData.R suggestsMe: SingleCellAlleleExperiment dependencyCount: 67 Package: scanMiRData Version: 1.12.0 Depends: R (>= 4.0) Imports: scanMiR, utils Suggests: knitr, rmarkdown, BiocStyle License: GPL-3 MD5sum: b003e73d86828d212a916bba13912ca6 NeedsCompilation: no Title: miRNA Affinity models for the scanMiR package Description: This package contains companion data to the scanMiR package. It contains `KdModel` (miRNA 12-mer binding affinity models) collections corresponding to all human, mouse and rat mirbase miRNAs. See the scanMiR package for details. biocViews: miRNAData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data Author: Pierre-Luc Germain [cre, aut] (), Michael Soutschek [aut], Fridolin Gross [aut] Maintainer: Pierre-Luc Germain VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scanMiRData git_branch: RELEASE_3_20 git_last_commit: c1f652d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/scanMiRData_1.12.0.tar.gz vignettes: vignettes/scanMiRData/inst/doc/scanMiRData.html vignetteTitles: scanMiRData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scanMiRData/inst/doc/scanMiRData.R importsMe: scanMiRApp dependencyCount: 71 Package: scATAC.Explorer Version: 1.12.1 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache, data.table, utils, S4Vectors, zellkonverter Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: e031fee987eb77af3299313b5a5f391b NeedsCompilation: no Title: A Collection of Single-cell ATAC Sequencing Datasets and Corresponding Metadata Description: This package provides a tool to search and download a collection of publicly available single cell ATAC-seq datasets and their metadata. scATAC-Explorer aims to act as a single point of entry for users looking to study single cell ATAC-seq data. Users can quickly search available datasets using the metadata table and download datasets of interest for immediate analysis within R. biocViews: SingleCellData, SequencingData, ExpressionData, GEO, Tissue, Genome, PackageTypeData Author: Arrian Gibson-Khademi [aut, cre], Erik Christensen [aut], Jonathan Wang [aut], Parisa Shooshtari [aut] Maintainer: Arrian Gibson-Khademi VignetteBuilder: knitr BugReports: https://github.com/shooshtarilab/scATACseq/issues git_url: https://git.bioconductor.org/packages/scATAC.Explorer git_branch: RELEASE_3_20 git_last_commit: f83681c git_last_commit_date: 2024-11-12 Date/Publication: 2024-11-14 source.ver: src/contrib/scATAC.Explorer_1.12.1.tar.gz vignettes: vignettes/scATAC.Explorer/inst/doc/scATAC.Explorer.html vignetteTitles: scATAC.Explorer hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scATAC.Explorer/inst/doc/scATAC.Explorer.R dependencyCount: 82 Package: SCLCBam Version: 1.38.0 Depends: R(>= 2.10) Suggests: BiocStyle License: GPL-2 MD5sum: 2e1013ff182c81e75551154d3849aa06 NeedsCompilation: no Title: Sequence data from chromosome 4 of a small-cell lung tumor Description: Whole-exome sequencing data from a murine small-cell lung tumor; only contains data of chromosome 4. biocViews: SequencingData, LungCancerData Author: Thomas Kuilman Maintainer: Oscar Krijgsman git_url: https://git.bioconductor.org/packages/SCLCBam git_branch: RELEASE_3_20 git_last_commit: e42f3ae git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SCLCBam_1.38.0.tar.gz vignettes: vignettes/SCLCBam/inst/doc/SCLCBam.pdf vignetteTitles: SCLCBam hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SCLCBam/inst/doc/SCLCBam.R dependencyCount: 0 Package: scMultiome Version: 1.6.0 Depends: AnnotationHub, ExperimentHub (>= 2.8.1), MultiAssayExperiment, SingleCellExperiment, SummarizedExperiment Imports: AzureStor, GenomicRanges, HDF5Array, S4Vectors, checkmate, methods, rhdf5, alabaster.matrix Suggests: BiocGenerics, IRanges, Matrix, knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0), devtools, BiocStyle, ExperimentHubData License: CC BY-SA 4.0 MD5sum: 64a106794e0af59f4249dba3124aaed3 NeedsCompilation: no Title: Collection of Public Single-Cell Multiome (scATAC + scRNAseq) Datasets Description: Single cell multiome data, containing chromatin accessibility (scATAC-seq) and gene expression (scRNA-seq) information analyzed with the ArchR package and presented as MultiAssayExperiment objects. biocViews: PackageTypeData, ExperimentHub, SingleCellData, ExpressionData, SequencingData, Homo_sapiens_Data, CellCulture, Tissue, GEO Author: Xiaosai Yao [cre, aut] (), Aleksander Chlebowski [aut], Aaron Lun [aut], Shiqi Xie [ctb], Tomasz Włodarczyk [aut] Maintainer: Xiaosai Yao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scMultiome git_branch: RELEASE_3_20 git_last_commit: 3185fec git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/scMultiome_1.6.0.tar.gz vignettes: vignettes/scMultiome/inst/doc/scMultiome.html vignetteTitles: scMultiome tutorial hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scMultiome/inst/doc/scMultiome.R importsMe: epiregulon suggestsMe: epiregulon.extra dependencyCount: 101 Package: scpdata Version: 1.13.0 Depends: R (>= 4.2.0), QFeatures, ExperimentHub Imports: utils, AnnotationHub, SingleCellExperiment, S4Vectors Suggests: scp, magrittr, dplyr, knitr, BiocStyle, BiocCheck, rmarkdown, testthat License: GPL-2 MD5sum: 9a026357adcb402892f64764ad09a6a6 NeedsCompilation: no Title: Single-Cell Proteomics Data Package Description: The package disseminates mass spectrometry (MS)-based single-cell proteomics (SCP) datasets. The data were collected from published work and formatted using the `scp` data structure. The data sets contain quantitative information at spectrum, peptide and/or protein level for single cells or minute sample amounts. biocViews: ExperimentData, ExpressionData, ExperimentHub, ReproducibleResearch, MassSpectrometryData, Proteome, SingleCellData, PackageTypeData Author: Christophe Vanderaa [aut, cre] (), Laurent Gatto [aut] (), Enes Ayar [dtc] (), Samuel Grégoire [dtc] () Maintainer: Christophe Vanderaa VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scpdata git_branch: devel git_last_commit: 5c8b368 git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/scpdata_1.13.0.tar.gz vignettes: vignettes/scpdata/inst/doc/contribution_guidelines.html, vignettes/scpdata/inst/doc/scpdata.html vignetteTitles: Contribution guidelines, Data Package for Single Cell Proteomics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scpdata/inst/doc/contribution_guidelines.R, vignettes/scpdata/inst/doc/scpdata.R suggestsMe: scp dependencyCount: 126 Package: scRNAseq Version: 2.20.0 Depends: SingleCellExperiment Imports: utils, methods, Matrix, BiocGenerics, S4Vectors, SparseArray, DelayedArray, GenomicRanges, SummarizedExperiment, ExperimentHub (>= 2.3.4), AnnotationHub (>= 3.3.6), AnnotationDbi, ensembldb, GenomicFeatures, alabaster.base, alabaster.matrix, alabaster.sce, gypsum, jsonlite, DBI, RSQLite Suggests: BiocStyle, knitr, rmarkdown, testthat, jsonvalidate, BiocManager License: CC0 MD5sum: 9712b05cec1dd4c33c67fffa06e3257d NeedsCompilation: no Title: Collection of Public Single-Cell RNA-Seq Datasets Description: Gene-level counts for a collection of public scRNA-seq datasets, provided as SingleCellExperiment objects with cell- and gene-level metadata. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData Author: Davide Risso [aut, cph], Michael Cole [aut], Aaron Lun [ctb, cre], Alan O'Callaghan [ctb], Jens Preussner [ctb], Charlotte Soneson [ctb], Stephany Orjuela [ctb], Daniel Bunis [ctb], Milan Malfait [ctb] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scRNAseq git_branch: RELEASE_3_20 git_last_commit: 40e3e5b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/scRNAseq_2.20.0.tar.gz vignettes: vignettes/scRNAseq/inst/doc/scRNAseq.html vignetteTitles: User's Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scRNAseq/inst/doc/scRNAseq.R dependsOnMe: OSCA.intro, OSCA.workflows, SingleRBook importsMe: singleCellTK suggestsMe: APL, BASiCS, ClusterFoldSimilarity, Glimma, SingleCellExperiment, SingleR, UCell, batchelor, bluster, ccImpute, destiny, dittoSeq, iSEE, iSEEfier, iSEEhex, iSEEindex, iSEEu, miQC, miloR, mumosa, scAnnotatR, scDblFinder, scDiagnostics, scDotPlot, scFeatureFilter, scTreeViz, scater, scone, scran, scrapper, scuttle, velociraptor, zellkonverter, zinbwave, speakeasyR dependencyCount: 118 Package: scTHI.data Version: 1.18.0 Depends: R (>= 4.0) License: GPL-2 MD5sum: c4e56ab66669c550520df2fb0ad688b1 NeedsCompilation: no Title: The package contains examples of single cell data used in vignettes and examples of the scTHI package; data contain both tumor cells and immune cells from public dataset of glioma Description: Data for the vignette and tutorial of the package scTHI. biocViews: ExperimentData, SingleCellData Author: Francesca Pia Caruso [aut], Michele Ceccarelli [aut, cre] Maintainer: Michele Ceccarelli git_url: https://git.bioconductor.org/packages/scTHI.data git_branch: RELEASE_3_20 git_last_commit: c6f9505 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/scTHI.data_1.18.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: scTHI dependencyCount: 0 Package: seq2pathway.data Version: 1.38.0 Depends: R (>= 3.6.2) License: GPL (>= 2) MD5sum: 56fcfc87bf877f64ff1283275f37ab73 NeedsCompilation: no Title: data set for R package seq2pathway Description: Supporting data for the seq2patheway package. Includes modified gene sets from MsigDB and org.Hs.eg.db; gene locus definitions from GENCODE project. biocViews: ExperimentData Author: Bin Wang Maintainer: Arjun Kinstlick git_url: https://git.bioconductor.org/packages/seq2pathway.data git_branch: RELEASE_3_20 git_last_commit: 43c0e8d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/seq2pathway.data_1.38.0.tar.gz vignettes: vignettes/seq2pathway.data/inst/doc/seq2pathway.data.pdf vignetteTitles: An R data package for sequence hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: seq2pathway dependencyCount: 0 Package: seqc Version: 1.40.0 Depends: R (>= 2.10) Imports: utils, Biobase License: GPL-3 MD5sum: 36346eaad47ac3ef20ae0b8979145247 NeedsCompilation: no Title: RNA-seq data generated from SEQC (MAQC-III) study Description: The SEQC/MAQC-III Consortium has produced benchmark RNA-seq data for the assessment of RNA sequencing technologies and data analysis methods (Nat Biotechnol, 2014). Billions of sequence reads have been generated from ten different sequencing sites. This package contains the summarized read count data for ~2000 sequencing libraries. It also includes all the exon-exon junctions discovered from the study. TaqMan RT-PCR data for ~1000 genes and ERCC spike-in sequence data are included in this package as well. biocViews: ExperimentData, RNASeqData, qPCRData, SequencingData Author: Yang Liao and Wei Shi with contributions from Gordon K Smyth and Steve Lianoglou. Maintainer: Yang Liao and Wei Shi URL: http://bioconductor.org/packages/release/data/experiment/html/seqc.html git_url: https://git.bioconductor.org/packages/seqc git_branch: RELEASE_3_20 git_last_commit: 0c2716f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/seqc_1.40.0.tar.gz vignettes: vignettes/seqc/inst/doc/seqc.pdf vignetteTitles: SEQC Vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/seqc/inst/doc/seqc.R dependencyCount: 6 Package: serumStimulation Version: 1.42.0 Depends: R (>= 2.10) License: GPL (>= 2) MD5sum: 9ae60ca2091b47da1d3d887067f89135 NeedsCompilation: no Title: serumStimulation is a data package which is used by examples in package pcaGoPromoter Description: Contains 13 micro array data results from a serum stimulation experiment biocViews: ExperimentData, MicroarrayData Author: Morten Hansen Maintainer: Morten Hansen, git_url: https://git.bioconductor.org/packages/serumStimulation git_branch: RELEASE_3_20 git_last_commit: 57013fd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/serumStimulation_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: sesameData Version: 1.24.0 Depends: R (>= 4.2.0), ExperimentHub, AnnotationHub Imports: utils, readr, stringr, GenomicRanges, S4Vectors, IRanges, GenomeInfoDb Suggests: BiocGenerics, sesame, testthat, knitr, rmarkdown License: Artistic-2.0 MD5sum: 0e78ee4d14094d812a39b12167c8d747 NeedsCompilation: no Title: Supporting Data for SeSAMe Package Description: Provides supporting annotation and test data for SeSAMe package. This includes chip tango addresses, mapping information, performance annotation, and trained predictor for Infinium array data. This package provides user access to essential annotation data for working with many generations of the Infinium DNA methylation array. Current we support human array (HM27, HM450, EPIC), mouse array (MM285) and the HorvathMethylChip40 (Mammal40) array. biocViews: ExperimentData, MicroarrayData, Genome, ExperimentHub, MethylationArrayData Author: Wanding Zhou [aut, cre] (), Hui Shen [aut], Timothy Triche [ctb] Maintainer: Wanding Zhou URL: https://github.com/zwdzwd/sesame VignetteBuilder: knitr BugReports: https://github.com/zwdzwd/sesame/issue git_url: https://git.bioconductor.org/packages/sesameData git_branch: RELEASE_3_20 git_last_commit: a8c3969 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/sesameData_1.24.0.tar.gz vignettes: vignettes/sesameData/inst/doc/sesameData.html vignetteTitles: sesameData User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/sesameData/inst/doc/sesameData.R dependsOnMe: sesame importsMe: knowYourCG, CytoMethIC suggestsMe: ELMER, iNETgrate dependencyCount: 75 Package: seventyGeneData Version: 1.42.0 Depends: R (>= 2.13.0) Suggests: Biobase, limma, breastCancerNKI, knitr, rmarkdown, readxl, BiocStyle License: Artistic-2.0 MD5sum: 0f1a3ab072300477276d2dc9bc5e16e4 NeedsCompilation: no Title: ExpressionSets from the van't Veer and Van de Vijver breast cancer studies Description: Gene expression data for the two breast cancer cohorts published by van't Veer and Van de Vijver in 2002. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData Author: Luigi Marchionni [aut, cre] (), Claudio Zanettini [aut, ctb], Lucio Queiroz [aut, ctb] () Maintainer: Luigi Marchionni URL: https://bioconductor.org/packages/release/data/experiment/html/seventyGeneData.html VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/seventyGeneData git_branch: RELEASE_3_20 git_last_commit: a8ab60b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/seventyGeneData_1.42.0.tar.gz vignettes: vignettes/seventyGeneData/inst/doc/seventyGeneData.html vignetteTitles: 1. Working with the seventyGeneData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/seventyGeneData/inst/doc/seventyGeneData.R dependencyCount: 0 Package: SFEData Version: 1.8.0 Imports: BiocFileCache, AnnotationHub, ExperimentHub, utils Suggests: BiocStyle, knitr, rmarkdown, SeuratObject, SpatialFeatureExperiment, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 0e1005c4fc1b0ca2bef593cffedb87d3 NeedsCompilation: no Title: Example SpatialFeatureExperiment datasets Description: Example spatial transcriptomics datasets with Simple Feature annotations as SpatialFeatureExperiment objects. Technologies include Visium, slide-seq, Nanostring CoxMX, Vizgen MERFISH, and 10X Xenium. Tissues include mouse skeletal muscle, human melanoma metastasis, human lung, breast cancer, and mouse liver. biocViews: ExperimentHub, ExpressionData, Mus_musculus_Data, Homo_sapiens_Data, SpatialData, Tissue, SingleCellData Author: Lambda Moses [aut, cre] (), Alik Huseynov [aut] (), Kayla Jackson [aut] (), Lior Pachter [aut, ths] () Maintainer: Lambda Moses URL: https://github.com/pachterlab/SFEData VignetteBuilder: knitr BugReports: https://github.com/pachterlab/SFEData/issues git_url: https://git.bioconductor.org/packages/SFEData git_branch: RELEASE_3_20 git_last_commit: da5376a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SFEData_1.8.0.tar.gz vignettes: vignettes/SFEData/inst/doc/SFEData.html vignetteTitles: Example SpatialFeatureExperiment datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SFEData/inst/doc/SFEData.R suggestsMe: SpatialFeatureExperiment, Voyager, concordexR, xenLite dependencyCount: 67 Package: shinyMethylData Version: 1.26.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: e27eb788611027ac6995ce44df9076f3 NeedsCompilation: no Title: Example dataset of input data for shinyMethyl Description: Extracted data from 369 TCGA Head and Neck Cancer DNA methylation samples. The extracted data serve as an example dataset for the package shinyMethyl. Original samples are from 450k methylation arrays, and were obtained from The Cancer Genome Atlas (TCGA). 310 samples are from tumor, 50 are matched normals and 9 are technical replicates of a control cell line. biocViews: Genome, CancerData Author: Jean-Philippe Fortin [cre, aut], Kasper Daniel Hansen [aut] Maintainer: Jean-Philippe Fortin git_url: https://git.bioconductor.org/packages/shinyMethylData git_branch: RELEASE_3_20 git_last_commit: a49691b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/shinyMethylData_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: shinyMethyl dependencyCount: 0 Package: signatureSearchData Version: 1.20.0 Depends: R (>= 3.6) Imports: ExperimentHub, utils, affy, limma, Biobase, magrittr, dplyr, R.utils, stats, rhdf5 Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: 98c11cb295e59f4f3caae25cdc4d616e NeedsCompilation: no Title: Datasets for signatureSearch package Description: CMAP/LINCS hdf5 databases and other annotations used for signatureSearch software package. biocViews: ExperimentHub, ExperimentData, ExpressionData Author: Yuzhu Duan , Brendan Gongol , Thomas Girke Maintainer: Brendan Gongol VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/signatureSearchData git_branch: RELEASE_3_20 git_last_commit: 9d87600 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/signatureSearchData_1.20.0.tar.gz vignettes: vignettes/signatureSearchData/inst/doc/signatureSearchData.html vignetteTitles: signatureSearchData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/signatureSearchData/inst/doc/signatureSearchData.R importsMe: DFD suggestsMe: signatureSearch dependencyCount: 78 Package: SimBenchData Version: 1.14.0 Depends: ExperimentHub Imports: S4Vectors, utils Suggests: BiocStyle, knitr, rmarkdown, Seurat License: GPL-3 MD5sum: 3a786d414a97f00b39d6ab12811996ff NeedsCompilation: no Title: SimBenchData: a collection of 35 single-cell RNA-seq data covering a wide range of data characteristics Description: The SimBenchData package contains a total of 35 single-cell RNA-seq datasets covering a wide range of data characteristics, including major sequencing protocols, multiple tissue types, and both human and mouse sources. biocViews: ExperimentHub, ExperimentData, SingleCellData, RNASeqData, Tissue, SequencingData Author: Yue Cao [aut, cre], Pengyi Yang [aut], Jean Yee Hwa Yang [aut] Maintainer: Yue Cao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SimBenchData git_branch: RELEASE_3_20 git_last_commit: b4bd1b4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SimBenchData_1.14.0.tar.gz vignettes: vignettes/SimBenchData/inst/doc/SimBenchData-vignette.html vignetteTitles: SimBenchData: a collection of single-cell RNA-seq data covering a wide range of data characteristics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SimBenchData/inst/doc/SimBenchData-vignette.R dependencyCount: 67 Package: simpIntLists Version: 1.42.0 License: GPL (>= 2) MD5sum: 22e154a884965c1309c378abc80c602a NeedsCompilation: no Title: The package contains BioGRID interactions for various organisms in a simple format Description: The package contains BioGRID interactions for arabidopsis(thale cress), c.elegans, fruit fly, human, mouse, yeast( budding yeast ) and S.pombe (fission yeast) . Entrez ids, official names and unique ids can be used to find proteins. The format of interactions are lists. For each gene/protein, there is an entry in the list with "name" containing name of the gene/protein and "interactors" containing the list of genes/proteins interacting with it. biocViews: ExperimentData, Arabidopsis_thaliana_Data Author: Kircicegi Korkmaz, Volkan Atalay, Rengul Cetin-Atalay Maintainer: Kircicegi Korkmaz git_url: https://git.bioconductor.org/packages/simpIntLists git_branch: RELEASE_3_20 git_last_commit: 59018b6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/simpIntLists_1.42.0.tar.gz vignettes: vignettes/simpIntLists/inst/doc/simpIntLists.pdf vignetteTitles: simpIntLists hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/simpIntLists/inst/doc/simpIntLists.R dependsOnMe: ibh dependencyCount: 0 Package: Single.mTEC.Transcriptomes Version: 1.34.0 Depends: R (>= 3.5.0) Suggests: DESeq2, GenomicRanges, GenomicFeatures, genefilter, statmod, gdata, RColorBrewer, ggplot2, gplots, cluster, clue, grid, gridExtra, ggbio, Gviz, geneplotter, matrixStats, pheatmap, BiocStyle, knitr, BiocParallel License: LGPL MD5sum: 5b2e48b74d9d995d70016366038e5a9d NeedsCompilation: no Title: Single Cell Transcriptome Data and Analysis of Mouse mTEC cells Description: This data package contains the code used to analyse the single-cell RNA-seq and the bulk ATAC-seq data from the manuscript titled: Single-cell transcriptome analysis reveals coordinated ectopic-gene expression patterns in medullary thymic epithelial cells. This paper was published in Nature Immunology 16,933-941(2015). The data objects provided in this package has been pre-processed: the raw data files can be downloaded from ArrayExpress under the accession identifiers E-MTAB-3346 and E-MTAB-3624. The vignette of this data package provides a documented and reproducible workflow that includes the code that was used to generate each statistic and figure from the manuscript. biocViews: ExperimentData Author: Alejandro Reyes Maintainer: Alejandro Reyes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/Single.mTEC.Transcriptomes git_branch: RELEASE_3_20 git_last_commit: 42c17d5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/Single.mTEC.Transcriptomes_1.34.0.tar.gz vignettes: vignettes/Single.mTEC.Transcriptomes/inst/doc/mTECs.pdf vignetteTitles: Analysis of single cell mTEC data. hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Single.mTEC.Transcriptomes/inst/doc/mTECs.R dependencyCount: 0 Package: SingleCellMultiModal Version: 1.18.0 Depends: R (>= 4.2.0), MultiAssayExperiment Imports: AnnotationHub, BiocBaseUtils, BiocFileCache, ExperimentHub, graphics, HDF5Array, S4Vectors, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, Matrix, methods, utils Suggests: BiocStyle, ggplot2, knitr, RaggedExperiment, rmarkdown, scater, scran, UpSetR, uwot License: Artistic-2.0 MD5sum: 61f436e43d8121f6eef92a6e9445e96f NeedsCompilation: no Title: Integrating Multi-modal Single Cell Experiment datasets Description: SingleCellMultiModal is an ExperimentHub package that serves multiple datasets obtained from GEO and other sources and represents them as MultiAssayExperiment objects. We provide several multi-modal datasets including scNMT, 10X Multiome, seqFISH, CITEseq, SCoPE2, and others. The scope of the package is is to provide data for benchmarking and analysis. To cite, use the 'citation' function and see . biocViews: ExperimentData, SingleCellData, ReproducibleResearch, ExperimentHub, GEO Author: Marcel Ramos [aut, cre] (), Ricard Argelaguet [aut], Al Abadi [ctb], Dario Righelli [aut], Christophe Vanderaa [ctb], Kelly Eckenrode [aut], Ludwig Geistlinger [aut], Levi Waldron [aut] Maintainer: Marcel Ramos VignetteBuilder: knitr BugReports: https://github.com/waldronlab/SingleCellMultiModal/issues git_url: https://git.bioconductor.org/packages/SingleCellMultiModal git_branch: RELEASE_3_20 git_last_commit: 5a8f8de git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SingleCellMultiModal_1.18.0.tar.gz vignettes: vignettes/SingleCellMultiModal/inst/doc/CITEseq.html, vignettes/SingleCellMultiModal/inst/doc/ECCITEseq.html, vignettes/SingleCellMultiModal/inst/doc/GTseq.html, vignettes/SingleCellMultiModal/inst/doc/scMultiome.html, vignettes/SingleCellMultiModal/inst/doc/scNMT.html, vignettes/SingleCellMultiModal/inst/doc/SCoPE2.html, vignettes/SingleCellMultiModal/inst/doc/seqFISH.html, vignettes/SingleCellMultiModal/inst/doc/SingleCellMultiModal.html vignetteTitles: CITEseq Cord Blood, ECCITEseq Peripheral Blood, GT-seq Mouse Embryo, scMultiome 10x PBMC, scNMT Mouse Gastrulation, SCoPE2: macrophage vs monocytes, seqFISH Mouse Visual Cortex, SingleCellMultiModal Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SingleCellMultiModal/inst/doc/CITEseq.R, vignettes/SingleCellMultiModal/inst/doc/ECCITEseq.R, vignettes/SingleCellMultiModal/inst/doc/GTseq.R, vignettes/SingleCellMultiModal/inst/doc/scMultiome.R, vignettes/SingleCellMultiModal/inst/doc/scNMT.R, vignettes/SingleCellMultiModal/inst/doc/SCoPE2.R, vignettes/SingleCellMultiModal/inst/doc/seqFISH.R, vignettes/SingleCellMultiModal/inst/doc/SingleCellMultiModal.R suggestsMe: MuData, StabMap, decontX dependencyCount: 89 Package: SingleMoleculeFootprintingData Version: 1.14.0 Imports: ExperimentHub, utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 202e6ff943df3b9150db62ee77671784 NeedsCompilation: no Title: Data supporting the SingleMoleculeFootprinting pkg Description: This Data package contains data objcets relevanat for the SingleMoleculeFootprinting package. More specifically, it contains one example of aligned sequencing data (.bam & .bai) necessary to run the SingleMoleculeFootprinting vignette. Additionally, we provide data that are essential for some functions to work correctly such as BaitCapture() and SampleCorrelation(). biocViews: ExperimentHub, ExperimentData, SequencingData Author: Guido Barzaghi [aut, cre] (), Arnaud Krebs [aut] (), Mike Smith [ctb] () Maintainer: Guido Barzaghi VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SingleMoleculeFootprintingData git_branch: RELEASE_3_20 git_last_commit: 5f5297d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SingleMoleculeFootprintingData_1.14.0.tar.gz vignettes: vignettes/SingleMoleculeFootprintingData/inst/doc/SingleMoleculeFootprintingData.html vignetteTitles: SingleMoleculeFootprintingData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/SingleMoleculeFootprintingData/inst/doc/SingleMoleculeFootprintingData.R dependencyCount: 67 Package: smokingMouse Version: 1.4.0 Suggests: ExperimentHub, AnnotationHubData, BiocStyle, covr, ExperimentHubData, knitr, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 7a530bd77d1c17a739dd2e070ed1f4b8 NeedsCompilation: no Title: Provides access to smokingMouse project data Description: This is an ExperimentHub package that provides access to the data at the gene, exon, transcript and junction level used in the analyses of the smokingMouse project. See https://github.com/LieberInstitute/smokingMouse_Indirects. This datasets contain the expression counts of genes, transcripts, exons and exon-exon junctions across 208 mice samples from pup and adult brains and adult blood. They also contain relevant information of these samples and features, such as conditions, QC metrics and if they were used after filtering steps and also if the features were differently expressed in the different experiments. biocViews: ExperimentHub, ExpressionData, Mus_musculus_Data, RNASeqData Author: Daianna Gonzalez-Padilla [aut, cre] () Maintainer: Daianna Gonzalez-Padilla URL: https://github.com/LieberInstitute/smokingMouse VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/smokingMouse git_url: https://git.bioconductor.org/packages/smokingMouse git_branch: RELEASE_3_20 git_last_commit: d4acaba git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/smokingMouse_1.4.0.tar.gz vignettes: vignettes/smokingMouse/inst/doc/smokingMouse.html vignetteTitles: Introduction to smokingMouse hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/smokingMouse/inst/doc/smokingMouse.R dependencyCount: 0 Package: SNAData Version: 1.52.0 Depends: R (>= 2.4.0), graph Suggests: Rgraphviz License: LGPL MD5sum: 37724640b8892123d6e4fd6f426a2461 NeedsCompilation: no Title: Social Networks Analysis Data Examples Description: Data from Wasserman & Faust (1999) "Social Network Analysis" biocViews: ExperimentData Author: Denise Scholtens Maintainer: Denise Scholtens git_url: https://git.bioconductor.org/packages/SNAData git_branch: RELEASE_3_20 git_last_commit: ebee956 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SNAData_1.52.0.tar.gz vignettes: vignettes/SNAData/inst/doc/SNAData.pdf vignetteTitles: SNAData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SNAData/inst/doc/SNAData.R dependencyCount: 7 Package: SNAGEEdata Version: 1.42.0 Depends: R (>= 2.6.0) Suggests: ALL, hgu95av2.db, SNAGEE License: Artistic-2.0 MD5sum: ad1629bee4e1cb85c3dfe006369b272e NeedsCompilation: no Title: SNAGEE data Description: SNAGEE data - gene list and correlation matrix biocViews: MicroarrayData Author: David Venet Maintainer: David Venet URL: http://fleming.ulb.ac.be/SNAGEE git_url: https://git.bioconductor.org/packages/SNAGEEdata git_branch: RELEASE_3_20 git_last_commit: 8448668 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SNAGEEdata_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: SNAGEE dependencyCount: 0 Package: SNPhoodData Version: 1.36.0 Depends: R (>= 3.2) Suggests: BiocStyle,knitr,rmarkdown License: LGPL (>= 3) MD5sum: 66d3827ba213bcbf04e5cde90529f975 NeedsCompilation: no Title: Additional and more complex example data for the SNPhood package Description: This companion package for SNPhood provides some example datasets of a larger size than allowed for the SNPhood package. They include full and real-world examples for performing analyses with the SNPhood package. biocViews: ExperimentData Author: Christian Arnold, Judith Zaugg Maintainer: Christian Arnold VignetteBuilder: knitr BugReports: christian.arnold@embl.de git_url: https://git.bioconductor.org/packages/SNPhoodData git_branch: RELEASE_3_20 git_last_commit: f2914c1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SNPhoodData_1.36.0.tar.gz vignettes: vignettes/SNPhoodData/inst/doc/SNPhoodData.html vignetteTitles: The *SNPhoodData* package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SNPhood dependencyCount: 0 Package: SomatiCAData Version: 1.44.0 Depends: R (>= 2.14) License: Artistic-2.0 MD5sum: 5376764d2b06ef447b96d362e80f5ad1 NeedsCompilation: no Title: An example cancer whole genome sequencing data for the SomatiCA package Description: An example cancer whole genome sequencing data for the SomatiCA package biocViews: ExperimentData, Genome, CancerData, SequencingData Author: Mengjie Chen Maintainer: Mengjie Chen git_url: https://git.bioconductor.org/packages/SomatiCAData git_branch: RELEASE_3_20 git_last_commit: c84ee6c git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SomatiCAData_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: SomaticCancerAlterations Version: 1.42.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, IRanges, S4Vectors Suggests: testthat, ggbio, ggplot2, knitr License: GPL-3 MD5sum: 89c1936e44be3156ca5170d210806ad9 NeedsCompilation: no Title: Somatic Cancer Alterations Description: Collection of somatic cancer alteration datasets biocViews: ExperimentData, Genome, CancerData, Project1000genomes, NCI Author: Julian Gehring Maintainer: Julian Gehring VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SomaticCancerAlterations git_branch: RELEASE_3_20 git_last_commit: 62374e0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SomaticCancerAlterations_1.42.0.tar.gz vignettes: vignettes/SomaticCancerAlterations/inst/doc/SomaticCancerAlterations-html.html vignetteTitles: SomaticCancerAlterations - HTML hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SomaticCancerAlterations/inst/doc/SomaticCancerAlterations-html.R suggestsMe: SomaticSignatures dependencyCount: 23 Package: SpatialDatasets Version: 1.4.0 Depends: ExperimentHub, SpatialExperiment, Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 0d46aa02771cb1ca6428d46e88d89654 NeedsCompilation: no Title: Collection of spatial omics datasets Description: This is a collection of publically available spatial omics datasets. Where possible we have curated these datasets as either SpatialExperiments, MoleculeExperiments or CytoImageLists and included annotations of the sample characteristics. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, SingleCellData, SpatialData, Homo_sapiens_Data, Mus_musculus_Data Author: Farhan Ameen [aut], Nick Robertson [aut], Alex Qin [aut], Elijah Willie [aut], Ellis Patrick [aut, cre] Maintainer: Ellis Patrick URL: https://github.com/SydneyBioX/SpatialDatasets VignetteBuilder: knitr BugReports: https://github.com/SydneyBioX/SpatialDatasets/issues git_url: https://git.bioconductor.org/packages/SpatialDatasets git_branch: RELEASE_3_20 git_last_commit: 25277b8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SpatialDatasets_1.4.0.tar.gz vignettes: vignettes/SpatialDatasets/inst/doc/SpatialDatasets_overview.html vignetteTitles: The SpatialDataset package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SpatialDatasets/inst/doc/SpatialDatasets_overview.R suggestsMe: lisaClust, spicyR, spicyWorkflow dependencyCount: 83 Package: spatialDmelxsim Version: 1.12.0 Depends: R (>= 4.1), ExperimentHub, SummarizedExperiment Imports: utils Suggests: knitr, rmarkdown, BiocStyle License: GPL-3 MD5sum: 3480463b7d6ea68d2755d643f65549be NeedsCompilation: no Title: Spatial allelic expression counts for fly cross embryo Description: Spatial allelic expression counts from Combs & Fraser (2018), compiled into a SummarizedExperiment object. This package contains data of allelic expression counts of spatial slices of a fly embryo, a Drosophila melanogaster x Drosophila simulans cross. See the CITATION file for the data source, and the associated script for how the object was constructed from publicly available data. biocViews: ExperimentHub, SequencingData, RNASeqData, ExpressionData, Drosophila_melanogaster_Data, GEO Author: Michael Love [aut, cre] Maintainer: Michael Love URL: https://github.com/mikelove/spatialDmelxsim VignetteBuilder: knitr BugReports: https://github.com/mikelove/spatialDmelxsim/issues git_url: https://git.bioconductor.org/packages/spatialDmelxsim git_branch: RELEASE_3_20 git_last_commit: 224f5e5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/spatialDmelxsim_1.12.0.tar.gz vignettes: vignettes/spatialDmelxsim/inst/doc/spatialDmelxsim.html vignetteTitles: spatialDmelxsim hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/spatialDmelxsim/inst/doc/spatialDmelxsim.R dependencyCount: 78 Package: spatialLIBD Version: 1.18.0 Depends: SpatialExperiment (>= 1.3.3), R (>= 3.6) Imports: shiny, golem, ggplot2, cowplot, plotly, viridisLite, shinyWidgets, sessioninfo, grid, grDevices, methods, AnnotationHub, utils, png, scater, DT, ExperimentHub, RColorBrewer, SummarizedExperiment, stats, graphics, S4Vectors, IRanges, fields, benchmarkme, SingleCellExperiment, BiocFileCache, jsonlite, tibble, rtracklayer, Matrix, BiocGenerics, GenomicRanges, magick, paletteer, scuttle, edgeR, limma, statmod, MatrixGenerics, rlang, dplyr Suggests: knitr, RefManageR, rmarkdown, BiocStyle, testthat (>= 2.1.0), covr, here, BiocManager, lobstr, DropletUtils License: Artistic-2.0 MD5sum: a261eafe19ca77ff46ca694974b64923 NeedsCompilation: no Title: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data Description: Inspect interactively the spatially-resolved transcriptomics data from the 10x Genomics Visium platform as well as data from the Maynard, Collado-Torres et al, Nature Neuroscience, 2021 project analyzed by Lieber Institute for Brain Development (LIBD) researchers and collaborators. biocViews: Homo_sapiens_Data, ExperimentHub, SequencingData, SingleCellData, ExpressionData, Tissue, PackageTypeData, SpatialData Author: Leonardo Collado-Torres [aut, cre] (), Kristen R. Maynard [ctb] (), Andrew E. Jaffe [ctb] (), Brenda Pardo [ctb] (), Abby Spangler [ctb] (), Jesús Vélez Santiago [ctb] (), Lukas M. Weber [ctb] (), Louise Huuki-Myers [ctb] (), Nicholas Eagles [ctb] () Maintainer: Leonardo Collado-Torres URL: https://github.com/LieberInstitute/spatialLIBD VignetteBuilder: knitr BugReports: https://support.bioconductor.org/tag/spatialLIBD git_url: https://git.bioconductor.org/packages/spatialLIBD git_branch: RELEASE_3_20 git_last_commit: eed7543 git_last_commit_date: 2024-10-29 Date/Publication: 2024-11-07 source.ver: src/contrib/spatialLIBD_1.18.0.tar.gz vignettes: vignettes/spatialLIBD/inst/doc/guide_to_spatial_registration.html, vignettes/spatialLIBD/inst/doc/multi_gene_plots.html, vignettes/spatialLIBD/inst/doc/spatialLIBD.html, vignettes/spatialLIBD/inst/doc/TenX_data_download.html vignetteTitles: Guide to Spatial Registration, Guide to Multi-Gene Plots, Introduction to spatialLIBD, Using spatialLIBD with 10x Genomics public datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/spatialLIBD/inst/doc/guide_to_spatial_registration.R, vignettes/spatialLIBD/inst/doc/multi_gene_plots.R, vignettes/spatialLIBD/inst/doc/spatialLIBD.R, vignettes/spatialLIBD/inst/doc/TenX_data_download.R suggestsMe: Banksy, BayesSpace, DESpace dependencyCount: 199 Package: SpikeIn Version: 1.48.0 Depends: R (>= 2.10), affy (>= 1.23.4) License: Artistic-2.0 MD5sum: f3fe76424ae86180f43ef63bbeb06181 NeedsCompilation: no Title: Affymetrix Spike-In Experiment Data Description: Contains the HGU133 and HGU95 spikein experiment data. biocViews: ExperimentData, MicroarrayData Author: Rafael Irizarry Maintainer: Robert D Shear URL: https://bioconductor.org/packages/SpikeIn BugReports: https://github.com/rafalab/SpikeIn/issues git_url: https://git.bioconductor.org/packages/SpikeIn git_branch: RELEASE_3_20 git_last_commit: 514d10a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SpikeIn_1.48.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PECA dependencyCount: 12 Package: SpikeInSubset Version: 1.46.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5), affy (>= 1.23.4) License: LGPL MD5sum: 9f377e32d90cb3e23ae288363c767af7 NeedsCompilation: no Title: Part of Affymetrix's Spike-In Experiment Data Description: Includes probe-level and expression data for the HGU133 and HGU95 spike-in experiments biocViews: ExperimentData, MicroarrayData Author: Rafael Irizarry and Zhijin Wu Maintainer: Robert D Shear URL: https://bioconductor.org/packages/SpikeInSubset BugReports: https://github.com/rafalab/SpikeInSubset/issues git_url: https://git.bioconductor.org/packages/SpikeInSubset git_branch: RELEASE_3_20 git_last_commit: 0a13e3d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SpikeInSubset_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: spqnData Version: 1.18.0 Depends: R (>= 4.0), SummarizedExperiment License: Artistic-2.0 MD5sum: 8366c866aac67ef93786d2f59a98d015 NeedsCompilation: no Title: Data for the spqn package Description: Bulk RNA-seq from GTEx on 4,000 randomly selected, expressed genes. Data has been processed for co-expression analysis. biocViews: Homo_sapiens_Data, ExpressionData, Tissue, RNASeqData Author: Yi Wang [cre, aut], Kasper Daniel Hansen [aut] Maintainer: Yi Wang git_url: https://git.bioconductor.org/packages/spqnData git_branch: RELEASE_3_20 git_last_commit: d907532 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/spqnData_1.18.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: spqn dependencyCount: 36 Package: stemHypoxia Version: 1.42.0 Depends: R (>= 2.14.1) License: GPL (>=2) MD5sum: 49bf6a9e4b05c1ae7841672ab7484457 NeedsCompilation: no Title: Differentiation of Human Embryonic Stem Cells under Hypoxia gene expression dataset by Prado-Lopez et al. (2010) Description: Expression profiling using microarray technology to prove if 'Hypoxia Promotes Efficient Differentiation of Human Embryonic Stem Cells to Functional Endothelium' by Prado-Lopez et al. (2010) Stem Cells 28:407-418. Full data available at Gene Expression Omnibus series GSE37761. biocViews: ExperimentData, Tissue, StemCell, Homo_sapiens_Data, CancerData, MicroarrayData, TissueMicroarrayData, GEO Author: Cristobal Fresno and Elmer A. Fernandez Maintainer: Cristobal Fresno URL: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37761, http://onlinelibrary.wiley.com/doi/10.1002/stem.295/abstract git_url: https://git.bioconductor.org/packages/stemHypoxia git_branch: RELEASE_3_20 git_last_commit: c1bab08 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/stemHypoxia_1.42.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: lmdme dependencyCount: 0 Package: STexampleData Version: 1.14.0 Depends: ExperimentHub, SingleCellExperiment, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown, BumpyMatrix, HDF5Array License: MIT + file LICENSE MD5sum: 20e089ef88575b871a5e0edc17c520ca NeedsCompilation: no Title: Collection of spatial transcriptomics datasets in SpatialExperiment Bioconductor format Description: Collection of spatial transcriptomics datasets stored in SpatialExperiment Bioconductor format, for use in examples, demonstrations, and tutorials. The datasets are from several different platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, ExpressionData, SingleCellData, SpatialData, Homo_sapiens_Data, Mus_musculus_Data Author: Lukas M. Weber [aut, cre] (), Yixing E. Dong [aut] () Maintainer: Lukas M. Weber URL: https://github.com/lmweber/STexampleData VignetteBuilder: knitr BugReports: https://github.com/lmweber/STexampleData/issues git_url: https://git.bioconductor.org/packages/STexampleData git_branch: RELEASE_3_20 git_last_commit: 75ad233 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/STexampleData_1.14.0.tar.gz vignettes: vignettes/STexampleData/inst/doc/STexampleData_overview.html vignetteTitles: STexampleData overview hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/STexampleData/inst/doc/STexampleData_overview.R suggestsMe: SpotSweeper, escheR, ggsc, ggspavis, nnSVG, smoothclust, spatialSimGP, spoon, tpSVG dependencyCount: 83 Package: SubcellularSpatialData Version: 1.2.0 Depends: R (>= 4.4) Imports: dplyr, hexbin, Matrix, SpatialExperiment, stats Suggests: BiocStyle, ExperimentHub, ggplot2, knitr, prettydoc, rmarkdown, testthat (>= 3.0.0) License: GPL (>= 3) MD5sum: 33c9b36b6b41c5ebeb5567b5c64aa5fb NeedsCompilation: no Title: Annotated spatial transcriptomics datasets from 10x Xenium, NanoString CosMx and BGI STOmics. Description: This is a data package that hosts annotated sub-cellular localised datasets from the STOmics, Xenium and CosMx platforms. Specifically, it hosts datasets analysed in the publication Bhuva et. al, 2024 titled "Library size confounds biology in spatial transcriptomics data". Raw transcript detections are hosted and functions to convert them to SpatialExperiment objects have been implemented. biocViews: ExperimentHub, SpatialData, Homo_sapiens_Data, Mus_musculus_Data, LungCancerData Author: Dharmesh D. Bhuva [aut, cre] () Maintainer: Dharmesh D. Bhuva URL: https://davislaboratory.github.io/SubcellularSpatialData VignetteBuilder: knitr BugReports: https://github.com/DavisLaboratory/SubcellularSpatialData/issues git_url: https://git.bioconductor.org/packages/SubcellularSpatialData git_branch: RELEASE_3_20 git_last_commit: 46453bd git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SubcellularSpatialData_1.2.0.tar.gz vignettes: vignettes/SubcellularSpatialData/inst/doc/SubcellularSpatialData.html vignetteTitles: SubcellularSpatialData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SubcellularSpatialData/inst/doc/SubcellularSpatialData.R dependencyCount: 74 Package: SVM2CRMdata Version: 1.38.0 Depends: R(>= 3.2.0) License: LGPL (>= 2) MD5sum: 0a323250bb842533ddf675228e0ff0b7 NeedsCompilation: no Title: An example dataset for use with the SVM2CRM package Description: An example dataset for use with the SVM2CRM package. biocViews: ExperimentData, ChIPSeq, HistoneModification, Preprocessing, DataImport Author: Guidantonio Malagoli Tagliazucchi Maintainer: Guidantonio Malagoli Tagliazucchi git_url: https://git.bioconductor.org/packages/SVM2CRMdata git_branch: RELEASE_3_20 git_last_commit: 050c0c1 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/SVM2CRMdata_1.38.0.tar.gz vignettes: vignettes/SVM2CRMdata/inst/doc/SVM2CRMdata.pdf vignetteTitles: The \Rpackage{SVM2CRMdata} Package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SVM2CRMdata/inst/doc/SVM2CRMdata.R dependencyCount: 0 Package: synapterdata Version: 1.44.0 Depends: R (>= 2.10), synapter (>= 1.99.2) Imports: utils License: GPL-2 MD5sum: e13319e22eff32d961f703684f9a23dc NeedsCompilation: no Title: Data accompanying the synapter package Description: Data independant acquisition of UPS1 protein mix in an E. coli background obtained on a Waters Synapt G2 instrument. biocViews: ExperimentData, MassSpectrometryData Author: Laurent Gatto, Sebastian Gibb and Pavel V. Shliaha Maintainer: Laurent Gatto git_url: https://git.bioconductor.org/packages/synapterdata git_branch: RELEASE_3_20 git_last_commit: 06102f9 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/synapterdata_1.44.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: synapter dependencyCount: 152 Package: systemPipeRdata Version: 2.10.0 Depends: R (>= 3.6.0) Imports: methods, Biostrings, BiocGenerics, jsonlite, remotes Suggests: GenomicFeatures, GenomicRanges, IRanges, Rsamtools, ShortRead, rtracklayer, RUnit, BiocStyle, knitr, rmarkdown, systemPipeR, kableExtra, magrittr, dplyr License: Artistic-2.0 MD5sum: 73820a7b33a8d1df288467179c3d96cc NeedsCompilation: no Title: systemPipeRdata: Workflow templates and sample data Description: systemPipeRdata complements the systemPipeR workflow management system (WMS) by offering a collection of pre-designed data analysis workflow templates. These templates are easily accessible and can be readily loaded onto a user's system with a single command. Once loaded, the WMS can immediately utilize these templates for efficient end-to-end analysis, serving a wide range of data analysis needs. biocViews: Genetics, Infrastructure, DataImport, Sequencing, RNASeq, ChIPSeq, MethylSeq, SNP, GeneExpression, Coverage, GeneSetEnrichment, Alignment, QualityControl, ImmunoOncology, RiboSeq, WorkflowStep Author: Thomas Girke Maintainer: Thomas Girke URL: https://github.com/tgirke/systemPipeRdata, https://systempipe.org/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/systemPipeRdata git_branch: RELEASE_3_20 git_last_commit: 04d9bb0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/systemPipeRdata_2.10.0.tar.gz vignettes: vignettes/systemPipeRdata/inst/doc/new.html, vignettes/systemPipeRdata/inst/doc/SPblast.html, vignettes/systemPipeRdata/inst/doc/SPcheminfo.html, vignettes/systemPipeRdata/inst/doc/SPscrna.html, vignettes/systemPipeRdata/inst/doc/systemPipeChIPseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeRdata.html, vignettes/systemPipeRdata/inst/doc/systemPipeRIBOseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeRNAseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeVARseq.html vignetteTitles: WF: Basic Generic Template, WF: BLAST Template, WF: Cheminformatics Drug Similarity Template, WF: Basic Single Cell Template, WF: ChIP-Seq Workflow Template, systemPipeRdata: Workflow templates and sample data, WF: RIBO-Seq Workflow Template, WF: RNA-Seq Workflow Template, WF: VAR-Seq Template hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/systemPipeRdata/inst/doc/new.R, vignettes/systemPipeRdata/inst/doc/SPblast.R, vignettes/systemPipeRdata/inst/doc/SPcheminfo.R, vignettes/systemPipeRdata/inst/doc/SPscrna.R, vignettes/systemPipeRdata/inst/doc/systemPipeChIPseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeRdata.R, vignettes/systemPipeRdata/inst/doc/systemPipeRIBOseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeRNAseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeVARseq.R suggestsMe: systemPipeR, systemPipeShiny dependencyCount: 26 Package: TabulaMurisData Version: 1.24.0 Depends: R (>= 3.5) Imports: ExperimentHub, utils Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, scran, scater, iSEE, testthat License: MIT + file LICENSE MD5sum: c1bd6839155817b5f01874ac53fe91cd NeedsCompilation: no Title: 10x And SmartSeq2 Data From The Tabula Muris Consortium Description: Access to processed 10x (droplet) and SmartSeq2 (on FACS-sorted cells) single-cell RNA-seq data from the Tabula Muris consortium (http://tabula-muris.ds.czbiohub.org/). biocViews: SingleCellData, ExperimentData, RNASeqData Author: Charlotte Soneson [aut, cre] () Maintainer: Charlotte Soneson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TabulaMurisData git_branch: RELEASE_3_20 git_last_commit: 785aba2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TabulaMurisData_1.24.0.tar.gz vignettes: vignettes/TabulaMurisData/inst/doc/TabulaMurisData.html vignetteTitles: Tabula Muris data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TabulaMurisData/inst/doc/TabulaMurisData.R dependencyCount: 67 Package: TabulaMurisSenisData Version: 1.12.0 Imports: ExperimentHub, SingleCellExperiment, HDF5Array, SummarizedExperiment, gdata, AnnotationHub Suggests: ggplot2, testthat, knitr, rmarkdown, iSEE, BiocStyle License: MIT + file LICENSE MD5sum: 3335145c932f9c89f2ba43b229209575 NeedsCompilation: no Title: Bulk and single-cell RNA-seq data from the Tabula Muris Senis project Description: This package provides access to RNA-seq data generated by the Tabula Muris Senis project via the Bioconductor project. The data is made available without restrictions by the Chan Zuckerberg Biohub. It is provided here without further processing, collected in the form of SingleCellExperiment objects. biocViews: SingleCellData, ExperimentData, RNASeqData, ExperimentHub Author: Charlotte Soneson [aut, cre] (), Dania Machlab [aut] (), Federico Marini [aut] (), Stefania Astrologo [aut] () Maintainer: Charlotte Soneson URL: https://github.com/fmicompbio/TabulaMurisSenisData VignetteBuilder: knitr BugReports: https://github.com/fmicompbio/TabulaMurisSenisData/issues git_url: https://git.bioconductor.org/packages/TabulaMurisSenisData git_branch: RELEASE_3_20 git_last_commit: 610c1f4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TabulaMurisSenisData_1.12.0.tar.gz vignettes: vignettes/TabulaMurisSenisData/inst/doc/TabulaMurisSenisData.html vignetteTitles: TabulaMurisSenisData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TabulaMurisSenisData/inst/doc/TabulaMurisSenisData.R suggestsMe: SPOTlight dependencyCount: 85 Package: TargetScoreData Version: 1.42.0 Suggests: TargetScore, gplots License: GPL-2 MD5sum: 3fac4abe234ab4439fd08e5a8d8c7035 NeedsCompilation: no Title: TargetScoreData Description: Precompiled and processed miRNA-overexpression fold-changes from 84 Gene Expression Omnibus (GEO) series corresponding to 6 platforms, 77 human cells or tissues, and 113 distinct miRNAs. Accompanied with the data, we also included in this package the sequence feature scores from TargetScanHuman 6.1 including the context+ score and the probabilities of conserved targeting for each miRNA-mRNA interaction. Thus, the user can use these static sequence-based scores together with user-supplied tissue/cell-specific fold-change due to miRNA overexpression to predict miRNA targets using the package TargetScore (download separately) biocViews: ExperimentData, RNASeqData, miRNAData Author: Yue Li Maintainer: Yue Li git_url: https://git.bioconductor.org/packages/TargetScoreData git_branch: RELEASE_3_20 git_last_commit: 59ea064 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TargetScoreData_1.42.0.tar.gz vignettes: vignettes/TargetScoreData/inst/doc/TargetScoreData.pdf vignetteTitles: Processed human microRNA-overexpression data from GEO,, and sequence information from TargetScan,, and targetScore from TargetScore hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TargetScoreData/inst/doc/TargetScoreData.R suggestsMe: TargetScore dependencyCount: 0 Package: TargetSearchData Version: 1.44.0 License: GPL (>= 2) MD5sum: ed882cf4fe96e35cb9be14e429a9acfc NeedsCompilation: no Title: Example GC-MS data for TargetSearch Package Description: Example files of GC-MS data for the TargetSearch Package. The package contains raw NetCDF files from a E.coli salt stress experiment, extracted peak lists, and sample metadata required for a GC-MS analysis. The raw data has been restricted for demonstration purposes. biocViews: ExperimentData, Escherichia_coli_Data Author: Alvaro Cuadros-Inostroza [aut, cre], Jan Lisec [aut], Henning Redestig [aut], Matt Hannah [aut] Maintainer: Alvaro Cuadros-Inostroza URL: https://github.com/acinostroza/TargetSearchData BugReports: https://github.com/acinostroza/TargetSearchData/issues git_url: https://git.bioconductor.org/packages/TargetSearchData git_branch: RELEASE_3_20 git_last_commit: 77c614e git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TargetSearchData_1.44.0.tar.gz vignettes: vignettes/TargetSearchData/inst/doc/TargetSearchData.pdf vignetteTitles: The TargetSearchData Package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TargetSearchData/inst/doc/TargetSearchData.R suggestsMe: TargetSearch dependencyCount: 0 Package: tartare Version: 1.20.0 Depends: R (>= 4.1), AnnotationHub (>= 2.16), ExperimentHub (>= 1.0) Imports: utils Suggests: BiocStyle, knitr, rmarkdown, testthat, tools License: GPL-3 MD5sum: 6eeeb4d2495f54d9ea03ec88a99d6124 NeedsCompilation: no Title: Raw ground spectra recorded on Thermo Fisher Scientific mass spectrometers Description: Provides raw files recorded on different Liquid Chromatography Mass Spectrometry (LC-MS) instruments. All included MS instruments are manufactured by Thermo Fisher Scientific and belong to the Orbitrap Tribrid or Q Exactive Orbitrap family of instruments. Despite their common origin and shared hardware components, e.g., Orbitrap mass analyser, the above instruments tend to write data in different "dialects" in a shared binary file format (.raw). The intention behind tartare is to provide complex but slim real-world files that can be used to make code robust with respect to this diversity. In other words, it is intended for enhanced unit testing. The package is considered to be used with the rawrr package and the Spectra MsBackends. biocViews: ExperimentData, MassSpectrometryData, ExperimentHub Author: Christian Panse [aut, cre] (), Tobias Kockmann [aut] () Maintainer: Christian Panse URL: https://github.com/cpanse/tartare VignetteBuilder: knitr BugReports: https://github.com/cpanse/tartare/issues git_url: https://git.bioconductor.org/packages/tartare git_branch: RELEASE_3_20 git_last_commit: 0ba29c3 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tartare_1.20.0.tar.gz vignettes: vignettes/tartare/inst/doc/tartare.html vignetteTitles: make and use tartare data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tartare/inst/doc/tartare.R suggestsMe: MsBackendRawFileReader, rawDiag, rawrr dependencyCount: 67 Package: TBX20BamSubset Version: 1.42.0 Depends: Rsamtools (>= 1.9.8) Imports: xtable License: LGPL MD5sum: c4621f88eceaa2b24655558964790f51 NeedsCompilation: no Title: Subset of BAM files from the "TBX20" experiment Description: Dual transcriptional activator and repressor roles of TBX20 regulate adult cardiac structure and function. A subset of the RNA-Seq data. biocViews: ExperimentData, SequencingData, RNASeqData Author: D. Bindreither Maintainer: D. Bindreither git_url: https://git.bioconductor.org/packages/TBX20BamSubset git_branch: RELEASE_3_20 git_last_commit: bf8058b git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TBX20BamSubset_1.42.0.tar.gz vignettes: vignettes/TBX20BamSubset/inst/doc/TBX20BamSubset.pdf vignetteTitles: TBX20 RNA-Seq data subset hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TBX20BamSubset/inst/doc/TBX20BamSubset.R importsMe: Rmmquant suggestsMe: APAlyzer, magpie dependencyCount: 40 Package: TCGAbiolinksGUI.data Version: 1.26.0 Depends: R (>= 3.5.0) Suggests: BiocStyle, knitr, rmarkdown, readr, DT License: GPL-3 MD5sum: 280de6c6b0ebc043613aa8fd5e79d2b5 NeedsCompilation: no Title: Data for the TCGAbiolinksGUI package Description: Supporting data for the TCGAbiolinksGUI package. biocViews: AssayDomainData, TechnologyData, OrganismData Author: Tiago Chedraoui Silva Maintainer: Tiago Chedraoui Silva URL: https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data VignetteBuilder: knitr BugReports: https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data/issues git_url: https://git.bioconductor.org/packages/TCGAbiolinksGUI.data git_branch: RELEASE_3_20 git_last_commit: 021d131 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TCGAbiolinksGUI.data_1.26.0.tar.gz vignettes: vignettes/TCGAbiolinksGUI.data/inst/doc/vignettes.html vignetteTitles: Supporting data for the TCGAbiolinksGUI package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAbiolinksGUI.data/inst/doc/vignettes.R importsMe: TCGAbiolinks dependencyCount: 0 Package: TCGAcrcmiRNA Version: 1.26.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: 987fb490cde2a7c1387a03ce1a38efe8 NeedsCompilation: no Title: TCGA CRC 450 miRNA dataset Description: colorectal cancer miRNA profile provided by TCGA biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/TCGAcrcmiRNA git_branch: RELEASE_3_20 git_last_commit: 7c54356 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TCGAcrcmiRNA_1.26.0.tar.gz vignettes: vignettes/TCGAcrcmiRNA/inst/doc/TcgaCrcVignette.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAcrcmiRNA/inst/doc/TcgaCrcVignette.R dependencyCount: 6 Package: TCGAcrcmRNA Version: 1.26.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: da22bfc5ef7e6cf3b67e3bd4b9ccdb03 NeedsCompilation: no Title: TCGA CRC 450 mRNA dataset Description: colorectal cancer mRNA profile provided by TCGA biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/TCGAcrcmRNA git_branch: RELEASE_3_20 git_last_commit: 6055cef git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TCGAcrcmRNA_1.26.0.tar.gz vignettes: vignettes/TCGAcrcmRNA/inst/doc/TcgaCrcVignette.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAcrcmRNA/inst/doc/TcgaCrcVignette.R dependencyCount: 6 Package: TCGAMethylation450k Version: 1.42.0 License: GPL-2 MD5sum: 14bf9c5d9f61ad9f29b0e6fdf1a76506 NeedsCompilation: no Title: The Cancer Genome Atlas Illumina 450k methylation example data Description: The Cancer Genome Atlas (TCGA) is applying genomics technologies to over 20 different types of cancer. This package contains a small set of 450k array data in idat format. biocViews: Genome, CancerData, MethylationArrayData Author: Sean Davis Maintainer: Sean Davis git_url: https://git.bioconductor.org/packages/TCGAMethylation450k git_branch: RELEASE_3_20 git_last_commit: 4afed89 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TCGAMethylation450k_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: methylumi dependencyCount: 0 Package: TCGAWorkflowData Version: 1.30.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment Suggests: knitr, rmarkdown, pander, testthat, BiocStyle License: GPL-3 MD5sum: 5d7066d5244562eb269a1c8bef037a30 NeedsCompilation: no Title: Data for TCGA Workflow Description: This experimental data package contains 11 data sets necessary to follow the "TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages". biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData, CancerData Author: Tiago Chedraoui Silva Maintainer: Tiago Chedraoui Silva URL: https://f1000research.com/articles/5-1542/v2 VignetteBuilder: knitr BugReports: https://github.com/BioinformaticsFMRP/TCGAWorkflow/issues git_url: https://git.bioconductor.org/packages/TCGAWorkflowData git_branch: RELEASE_3_20 git_last_commit: ceef0c4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TCGAWorkflowData_1.30.0.tar.gz vignettes: vignettes/TCGAWorkflowData/inst/doc/TCGAWorkflowData.html vignetteTitles: 'Example data for TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages' hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAWorkflowData/inst/doc/TCGAWorkflowData.R importsMe: TCGAWorkflow dependencyCount: 36 Package: TENxBrainData Version: 1.26.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub (>= 2.9.22), ExperimentHub Suggests: knitr, BiocStyle, snow, BiocFileCache, BiocParallel, data.table, rmarkdown License: CC BY 4.0 MD5sum: c75922e698f3cfea4aeceff12647f0c4 NeedsCompilation: no Title: Data from the 10X 1.3 Million Brain Cell Study Description: Single-cell RNA-seq data for 1.3 million brain cells from E18 mice, generated by 10X Genomics. biocViews: SequencingData, RNASeqData, ExpressionData, SingleCellData Author: Aaron Lun [aut], Martin Morgan [aut], Bioconductor Package Maintainer [cre] Maintainer: Bioconductor Package Maintainer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TENxBrainData git_branch: RELEASE_3_20 git_last_commit: 7bcb551 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TENxBrainData_1.26.0.tar.gz vignettes: vignettes/TENxBrainData/inst/doc/TENxBrainData.html vignetteTitles: Exploring the 1.3 million brain cell scRNA-seq data from 10X Genomics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TENxBrainData/inst/doc/TENxBrainData.R suggestsMe: HDF5Array dependencyCount: 83 Package: TENxBUSData Version: 1.20.0 Imports: ExperimentHub, AnnotationHub, utils, BiocGenerics Suggests: knitr, rmarkdown, BiocStyle License: BSD_2_clause + file LICENSE MD5sum: d06d50a0967cda65a36e27a32d2e6c6e NeedsCompilation: no Title: Single cell dataset from 10x in BUS format Description: Download Barcode, UMI, and Set (BUS) format of 10x datasets from within R. This package accompanies the package BUSpaRse, which can load BUS format into R as a sparse matrix, and which has utility functions related to using the C++ command line package bustools. biocViews: SingleCellData, SequencingData, ExperimentHub, ExperimentData, ExpressionData Author: Lambda Moses [aut, cre] () Maintainer: Lambda Moses URL: https://github.com/BUStools/TENxBUSData VignetteBuilder: knitr BugReports: https://github.com/BUStools/TENxBUSData/issues git_url: https://git.bioconductor.org/packages/TENxBUSData git_branch: RELEASE_3_20 git_last_commit: f303943 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TENxBUSData_1.20.0.tar.gz vignettes: vignettes/TENxBUSData/inst/doc/downloading-10x-hgmm-data.html vignetteTitles: Downloading BUS data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TENxBUSData/inst/doc/downloading-10x-hgmm-data.R suggestsMe: BUSpaRse dependencyCount: 67 Package: TENxPBMCData Version: 1.24.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub, ExperimentHub Suggests: rmarkdown, knitr, BiocStyle, snow, BiocFileCache, BiocParallel License: CC BY 4.0 MD5sum: 15f610613ce383ac323033ee5a8f42c5 NeedsCompilation: no Title: PBMC data from 10X Genomics Description: Single-cell RNA-seq data for on PBMC cells, generated by 10X Genomics. biocViews: SequencingData, RNASeqData, ExpressionData, ExperimentHub, ExperimentData, SingleCellData Author: Kasper D. Hansen [aut], Davide Risso [aut], Milan Malfait [ctb], Jeroen Gilis [ctb], Theodore Killian [ctb], Murat Cem Kose [ctb], Chong Tang [ctb], Teun van den Brand [ctb], Dania Machlab [ctb], Stephanie Hicks [aut, cre] Maintainer: Stephanie Hicks VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TENxPBMCData git_branch: RELEASE_3_20 git_last_commit: 59aeb4a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TENxPBMCData_1.24.0.tar.gz vignettes: vignettes/TENxPBMCData/inst/doc/TENxPBMCData.html vignetteTitles: Obtaining scRNA-seq data on PBMCs from 10X Genomics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TENxPBMCData/inst/doc/TENxPBMCData.R dependsOnMe: SingleRBook importsMe: singleCellTK suggestsMe: ASURAT, ExperimentSubset, adverSCarial, celda, concordexR, decontX, glmGamPoi, iSEE, mbkmeans, schex, scone, scry, sketchR, transformGamPoi dependencyCount: 83 Package: TENxVisiumData Version: 1.14.0 Depends: ExperimentHub, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 51c4de649c20eb710f34c5e6803f98ed NeedsCompilation: no Title: Visium spatial gene expression data by 10X Genomics Description: Collection of Visium spatial gene expression datasets by 10X Genomics, formatted into objects of class SpatialExperiment. Data cover various organisms and tissues, and include: single- and multi-section experiments, as well as single sections subjected to both whole transcriptome and targeted panel analysis. Datasets may be used for testing of and as examples in packages, for tutorials and workflow demonstrations, or similar purposes. biocViews: ExperimentHub, ExpressionData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, ReproducibleResearch Author: Helena L. Crowell [aut, cre] () Maintainer: Helena L. Crowell URL: https://github.com/helenalc/TENxVisiumData VignetteBuilder: knitr BugReports: https://github.com/helenalc/TENxVisiumData/issues git_url: https://git.bioconductor.org/packages/TENxVisiumData git_branch: RELEASE_3_20 git_last_commit: 5f5cd57 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TENxVisiumData_1.14.0.tar.gz vignettes: vignettes/TENxVisiumData/inst/doc/vignette.html vignetteTitles: TENxVisiumData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TENxVisiumData/inst/doc/vignette.R suggestsMe: SPOTlight dependencyCount: 83 Package: TENxXeniumData Version: 1.2.0 Depends: ExperimentHub Imports: SpatialExperiment, SpatialFeatureExperiment, BumpyMatrix, SummarizedExperiment, utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 1c7e013460ed287c5d666e0a488b24ef NeedsCompilation: no Title: Collection of Xenium spatial data by 10X genomics Description: Collection of Xenium spatial transcriptomics datasets provided by 10x Genomics, formatted into the Bioconductor classes, the SpatialExperiment or SpatialFeatureExperiment (SFE), to facilitate seamless integration into various applications, including examples, demonstrations, and tutorials. The constructed data objects include gene expression profiles, per-transcript location data, centroid, segmentation boundaries (e.g., cell or nucleus boundaries), and image. biocViews: ExperimentData, ExperimentHub, SpatialData Author: Matineh Rahmatbakhsh [aut, cre], Monica Ge [aut] Maintainer: Matineh Rahmatbakhsh URL: https://github.com/mrbakhsh/TENxXeniumData VignetteBuilder: knitr BugReports: https://github.com/mrbakhsh/TENxXeniumData/issues git_url: https://git.bioconductor.org/packages/TENxXeniumData git_branch: RELEASE_3_20 git_last_commit: 3b2aa61 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TENxXeniumData_1.2.0.tar.gz vignettes: vignettes/TENxXeniumData/inst/doc/TENxXeniumData.html vignetteTitles: TENxXeniumData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TENxXeniumData/inst/doc/TENxXeniumData.R dependencyCount: 155 Package: timecoursedata Version: 1.16.0 Depends: R (>= 4.0), SummarizedExperiment Suggests: testthat (>= 1.0.0), knitr, rmarkdown, markdown, covr, BiocStyle License: BSD 3-clause License + file LICENSE MD5sum: 28f66d8ccee52d67473922f1e417c78d NeedsCompilation: no Title: A data package for timecourse RNA-seq and microarray gene expression data sets Description: This data package contains timecourse gene expression data sets. The first dataset, from Shoemaker et al, consists of microarray samples from lung tissue of mice exposed to different influenzy strains from 14 timepoints. The two other datasets are leaf and root samples from sorghum crops exposed to pre- and post-flowering drought stress and a control condition, sampled across the plants lifetime. biocViews: ExpressionData, MicroarrayData, RNASeqData Author: Elizabeth Purdom [aut] (), Nelle Varoquaux [aut, cre] () Maintainer: Nelle Varoquaux VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/timecoursedata git_branch: RELEASE_3_20 git_last_commit: 33d89f7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/timecoursedata_1.16.0.tar.gz vignettes: vignettes/timecoursedata/inst/doc/documentation.html vignetteTitles: timecoursedata: Time course gene expression datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/timecoursedata/inst/doc/documentation.R suggestsMe: moanin dependencyCount: 36 Package: TimerQuant Version: 1.36.0 Depends: shiny Imports: ggplot2, grid, gridExtra, deSolve, dplyr, locfit Suggests: BiocStyle, reshape2, knitr, shinyBS License: Artistic-2.0 MD5sum: ba7baf3dc9562fe7c00adae7f5fe1ad2 NeedsCompilation: no Title: Timer Quantification Description: Supplementary Data package for tandem timer methods paper by Barry et al. (2015) including TimerQuant shiny applications. biocViews: ExperimentData, Danio_rerio_Data, HighThroughputImagingData, Tissue Author: Joseph Barry Maintainer: Joseph Barry VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TimerQuant git_branch: RELEASE_3_20 git_last_commit: f98ace7 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TimerQuant_1.36.0.tar.gz vignettes: vignettes/TimerQuant/inst/doc/genPaperFigures.pdf, vignettes/TimerQuant/inst/doc/mathematicalDerivations.pdf vignetteTitles: Supplementary Methods - automatic generation of paper figures, Supplementary Methods - mathematical derivations hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TimerQuant/inst/doc/genPaperFigures.R, vignettes/TimerQuant/inst/doc/mathematicalDerivations.R dependencyCount: 65 Package: tinesath1cdf Version: 1.44.0 License: Artistic-2.0 MD5sum: 7876f5f8916518557139bfd5dab1f4f3 NeedsCompilation: no Title: tinesath1cdf Description: A package containing an environment represeting the newcdf/tinesATH1.cdf.cdf file. biocViews: Arabidopsis_thaliana_Data, ChipOnChipData Author: Tine Casneuf Maintainer: Tine Casneuf git_url: https://git.bioconductor.org/packages/tinesath1cdf git_branch: RELEASE_3_20 git_last_commit: e0bd148 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tinesath1cdf_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: XhybCasneuf dependencyCount: 0 Package: tinesath1probe Version: 1.44.0 Depends: R (>= 1.6), AnnotationDbi (>= 1.11.9) License: LGPL MD5sum: b62b0add44a447b6c38c051cf70aa87c NeedsCompilation: no Title: Probe sequence data for microarrays of type tinesath1 Description: This package was automatically created by package matchprobes version 1.4.0. The probe sequence data was obtained from http://www.affymetrix.com. biocViews: Arabidopsis_thaliana_Data, SequencingData, MicroarrayData Author: The Bioconductor Project www.bioconductor.org Maintainer: Tine Casneuf git_url: https://git.bioconductor.org/packages/tinesath1probe git_branch: RELEASE_3_20 git_last_commit: ddc0110 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tinesath1probe_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 45 Package: tissueTreg Version: 1.26.0 Depends: R (>= 3.5) Suggests: BiocStyle, knitr, rmarkdown, testthat, ExperimentHub, bsseq, SummarizedExperiment, ggplot2, reshape2 License: GPL (>= 2) MD5sum: 6d508115f45fe5ec1faf5349c9497e7d NeedsCompilation: no Title: TWGBS and RNA-seq data from tissue T regulatory cells from mice Description: The package provides ready to use epigenomes (obtained from TWGBS) and transcriptomes (RNA-seq) from various tissues as obtained in the study (Delacher and Imbusch 2017, PMID: 28783152). Regulatory T cells (Treg cells) perform two distinct functions: they maintain self-tolerance, and they support organ homeostasis by differentiating into specialized tissue Treg cells. The underlying dataset characterises the epigenetic and transcriptomic modifications for specialized tissue Treg cells. biocViews: ExperimentData, Tissue, Mus_musculus_Data, SequencingData, RNASeqData Author: Charles Imbusch [aut, cre], Michael Delacher [aut], Markus Feuerer [aut], Benedikt Brors [aut] Maintainer: Charles Imbusch URL: https://github.com/cimbusch/tissueTreg VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tissueTreg git_branch: RELEASE_3_20 git_last_commit: c2e0239 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tissueTreg_1.26.0.tar.gz vignettes: vignettes/tissueTreg/inst/doc/tissueTreg.html vignetteTitles: tissueTreg hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tissueTreg/inst/doc/tissueTreg.R suggestsMe: DMRcate dependencyCount: 0 Package: TMExplorer Version: 1.16.0 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 6554fe5db5049cfe19f9b9f7d3f662c2 NeedsCompilation: no Title: A Collection of Tumour Microenvironment Single-cell RNA Sequencing Datasets and Corresponding Metadata Description: This package provides a tool to search and download a collection of tumour microenvironment single-cell RNA sequencing datasets and their metadata. TMExplorer aims to act as a single point of entry for users looking to study the tumour microenvironment at the single cell level. Users can quickly search available datasets using the metadata table and then download the ones they are interested in for analysis. biocViews: CancerData, SingleCellData, RNASeqData, SequencingData, ExpressionData, GEO, PackageTypeData Author: Erik Christensen [aut, cre], Alaine Naidas [aut], David Chen [aut], Parisa Shooshtari [aut] Maintainer: Erik Christensen VignetteBuilder: knitr BugReports: https://github.com/shooshtarilab/TMExplorer/issues git_url: https://git.bioconductor.org/packages/TMExplorer git_branch: RELEASE_3_20 git_last_commit: 470ea31 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TMExplorer_1.16.0.tar.gz vignettes: vignettes/TMExplorer/inst/doc/TMExplorer.html vignetteTitles: TMExplorer hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TMExplorer/inst/doc/TMExplorer.R dependencyCount: 69 Package: tofsimsData Version: 1.34.0 Depends: R (>= 3.2.0) Suggests: knitr, rmarkdown, tools License: GPL-3 MD5sum: 820073aaa32a9664721c1245015c78db NeedsCompilation: no Title: Import, process and analysis of ToF-SIMS imaging data Description: This packages contains data to be used with the 'tofsims' package. biocViews: ExperimentData, MassSpectrometry, ImagingMassSpectrometry, DataImport Author: Lorenz Gerber, Viet Mai Hoang Maintainer: Lorenz Gerber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tofsimsData git_branch: RELEASE_3_20 git_last_commit: b414bf6 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tofsimsData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: topdownrdata Version: 1.28.0 Depends: topdownr License: GPL (>= 3) MD5sum: c74335a0fdebf3646e25eac76164738b NeedsCompilation: no Title: Example Files for the topdownr R Package Description: Example data for the topdownr package generated on a Thermo Orbitrap Fusion Lumos MS device. biocViews: ExperimentData, MassSpectrometryData Author: Sebastian Gibb [aut, cre], Pavel Shliaha [aut], Ole Nørregaard Jensen [aut] Maintainer: Sebastian Gibb URL: https://github.com/sgibb/topdownrdata/ BugReports: https://github.com/sgibb/topdownrdata/issues/ git_url: https://git.bioconductor.org/packages/topdownrdata git_branch: RELEASE_3_20 git_last_commit: f91170d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/topdownrdata_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: topdownr dependencyCount: 139 Package: TransOmicsData Version: 1.2.0 Imports: S4Vectors, utils Suggests: BiocStyle, knitr, rmarkdown, RefManageR, sessioninfo, testthat, ExperimentHub License: GPL-3 + file LICENSE MD5sum: 49ad14256811563aac93e9cb8b87e2a0 NeedsCompilation: no Title: A collection of trans-omics datasets across various biological systems Description: Contains a collection of trans-omics datasets generated using various sequencing technologies such as RNA-seq, Mass spectrometry and ChIP-seq. Modalities include the bulk profiling of the phosphoproteome, proteome, transcriptome and epigenome. Data reflects the timecourses of different developmental systems from the mouse or human. biocViews: ExperimentHub, MassSpectrometryData, RNASeqData, ChIPSeqData, Tissue, SequencingData Author: Carissa Chen [aut] (), Di Xiao [aut, cre] (), Pengyi Yang [aut] () Maintainer: Di Xiao URL: https://github.com/PYangLab/TransOmicsData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/TransOmicsData git_url: https://git.bioconductor.org/packages/TransOmicsData git_branch: RELEASE_3_20 git_last_commit: 5d0051a git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/TransOmicsData_1.2.0.tar.gz vignettes: vignettes/TransOmicsData/inst/doc/TransOmicsData-vignette.html vignetteTitles: TransOmicsData: A collection of trans-omics datasets across various biological systems hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TransOmicsData/inst/doc/TransOmicsData-vignette.R dependencyCount: 7 Package: tuberculosis Version: 1.12.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr Suggests: BiocStyle, ggplot2, hrbrthemes, knitr, readr, rmarkdown, scater, usethis, utils License: Artistic-2.0 MD5sum: 232d8eebba6c53dead1fd5025f806613 NeedsCompilation: no Title: Tuberculosis Gene Expression Data for Machine Learning Description: The tuberculosis R/Bioconductor package features tuberculosis gene expression data for machine learning. All human samples from GEO that did not come from cell lines, were not taken postmortem, and did not feature recombination have been included. The package has more than 10,000 samples from both microarray and sequencing studies that have been processed from raw data through a hyper-standardized, reproducible pipeline. biocViews: ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, SequencingData, ReproducibleResearch Author: Lucas Schiffer [aut, cre] () Maintainer: Lucas Schiffer URL: https://github.com/schifferl/tuberculosis VignetteBuilder: knitr BugReports: https://github.com/schifferl/tuberculosis/issues git_url: https://git.bioconductor.org/packages/tuberculosis git_branch: RELEASE_3_20 git_last_commit: 316c333 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tuberculosis_1.12.0.tar.gz vignettes: vignettes/tuberculosis/inst/doc/tuberculosis.html vignetteTitles: tuberculosis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tuberculosis/inst/doc/tuberculosis.R dependencyCount: 78 Package: TumourMethData Version: 1.3.0 Depends: R (>= 4.2), SummarizedExperiment Imports: ExperimentHub, GenomicRanges, HDF5Array, R.utils, rhdf5 Suggests: ggplot2, knitr, rmarkdown License: Artistic-2.0 MD5sum: 33c0ff42d0fbc47bb824bd29b06c34f2 NeedsCompilation: no Title: A Collection of DNA Methylation Datasets for Human Tumour Samples and Matching Normal Samples Description: TumourMethData collects tumour methylation data from a variety of different tumour types (and also matching normal samples where available) and produced with different technologies (e.g. WGBS, RRBS and methylation arrays) and provides them as RangedSummarizedExperiments. This facilitates easy extraction of methylation data for regions of interest across different tumour types and studies. biocViews: ExperimentData, ExperimentHub, MethylSeqData, CancerData, Homo_sapiens_Data, Author: Richard Heery [aut, cre] () Maintainer: Richard Heery URL: https://github.com/richardheery/TumourMethData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/tag/TumourMethData git_url: https://git.bioconductor.org/packages/TumourMethData git_branch: devel git_last_commit: 5a8934f git_last_commit_date: 2024-04-30 Date/Publication: 2024-05-02 source.ver: src/contrib/TumourMethData_1.3.0.tar.gz vignettes: vignettes/TumourMethData/inst/doc/getting_tumour_methylation_from_TumourMethData.html vignetteTitles: getting_tumour_methylation_from_TumourMethData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TumourMethData/inst/doc/getting_tumour_methylation_from_TumourMethData.R dependencyCount: 85 Package: tweeDEseqCountData Version: 1.44.0 Depends: Biobase, R (>= 4.3.0) Suggests: knitr, BiocStyle, rmarkdown License: MIT + file LICENSE MD5sum: d948402ffc023b37cf2347865a1f1e2e NeedsCompilation: no Title: RNA-seq count data employed in the vignette of the tweeDEseq package Description: RNA-seq count data from Pickrell et al. (2010) employed to illustrate the use of the Poisson-Tweedie family of distributions with the tweeDEseq package. biocViews: Genome, Homo_sapiens_Data, RNASeqData Author: Dolors Pelegri-Siso [aut, cre] (), Juan R. Gonzalez [aut] (), Mikel Esnaola [aut], Robert Castelo [aut] Maintainer: Dolors Pelegri-Siso URL: https://github.com/isglobal-brge/tweeDEseqCountData/ VignetteBuilder: knitr BugReports: https://github.com/isglobal-brge/tweeDEseqCountData/issues git_url: https://git.bioconductor.org/packages/tweeDEseqCountData git_branch: RELEASE_3_20 git_last_commit: cb18311 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tweeDEseqCountData_1.44.0.tar.gz vignettes: vignettes/tweeDEseqCountData/inst/doc/tweeDEseqCountData.html vignetteTitles: RNA-seq count data employed in the vignette of the tweeDEseq package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tweeDEseqCountData/inst/doc/tweeDEseqCountData.R suggestsMe: GSAR, missMethyl, tweeDEseq, zenith dependencyCount: 6 Package: tximportData Version: 1.34.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: fc6bbc67c32e7eac6e11b68af9343745 NeedsCompilation: no Title: tximportData Description: This package provides the output of running various transcript abundance quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The quantifiers were Cufflinks, RSEM, kallisto, Salmon and Sailfish. alevin example output is also included. Forr details on version numbers, sample information, and details on calls, see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tximportData git_branch: RELEASE_3_20 git_last_commit: 3ccc5e8 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/tximportData_1.34.0.tar.gz vignettes: vignettes/tximportData/inst/doc/tximportData.html vignetteTitles: Sample output files for tximport hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tximportData/inst/doc/tximportData.R importsMe: TDbasedUFE suggestsMe: DESeq2, eds, fishpond, tximeta, tximport, variancePartition dependencyCount: 0 Package: VariantToolsData Version: 1.30.0 Depends: R (>= 3.5.0), VariantAnnotation (>= 1.7.35) Imports: BiocGenerics, GenomicRanges Suggests: VariantTools (>= 1.3.4), gmapR (>= 1.3.3), BiocStyle License: Artistic-2.0 MD5sum: 00072c40be7324743e9a1d9f7507a743 NeedsCompilation: no Title: Data for the VariantTools tutorial Description: Data from the sequencing of a 50/50 mixture of HapMap trio samples NA12878 (CEU) and NA19240 (YRI), subset to the TP53 region. biocViews: ExperimentData, SequencingData, HapMap, SNPData Author: Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/VariantToolsData git_branch: RELEASE_3_20 git_last_commit: c6c4773 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/VariantToolsData_1.30.0.tar.gz vignettes: vignettes/VariantToolsData/inst/doc/intro.pdf vignetteTitles: VariantTools Example Data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/VariantToolsData/inst/doc/intro.R dependencyCount: 79 Package: VectraPolarisData Version: 1.10.0 Depends: ExperimentHub, SpatialExperiment, utils Suggests: BiocStyle, knitr, rmarkdown, dplyr License: Artistic-2.0 MD5sum: 9a68d6def6946fea171b63621c349a0b NeedsCompilation: no Title: Vectra Polaris and Vectra 3 multiplex single-cell imaging data Description: Provides two multiplex imaging datasets collected on Vectra instruments at the University of Colorado Anschutz Medical Campus. Data are provided as a Spatial Experiment objects. Data is provided in tabular form and has been segmented and phenotyped using Inform software. Raw .tiff files are not included. biocViews: ExperimentHub, ExperimentData, SpatialData, SingleCellData, Homo_sapiens_Data, ReproducibleResearch Author: Wrobel Julia [aut, cre] (), Tusharkanti Ghosh [aut] Maintainer: Wrobel Julia URL: https://github.com/julia-wrobel/VectraPolarisData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/VectraPolarisData git_url: https://git.bioconductor.org/packages/VectraPolarisData git_branch: RELEASE_3_20 git_last_commit: 57edbe4 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/VectraPolarisData_1.10.0.tar.gz vignettes: vignettes/VectraPolarisData/inst/doc/VectraPolarisData.html vignetteTitles: VectraPolarisData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/VectraPolarisData/inst/doc/VectraPolarisData.R dependencyCount: 83 Package: vulcandata Version: 1.28.0 Imports: utils Suggests: viper License: LGPL-3 MD5sum: 967ff4f5f3eeef805d666b70f3659a5e NeedsCompilation: no Title: VirtUaL ChIP-Seq data Analysis using Networks, dummy dataset Description: This package provides a dummy regulatory network and ChIP-Seq dataset for running examples in the vulcan package biocViews: ExperimentData, Homo_sapiens_Data, CancerData, ChIPSeqData Author: Federico M. Giorgi, Andrew N. Holding, Florian Markowetz Maintainer: Federico M. Giorgi git_url: https://git.bioconductor.org/packages/vulcandata git_branch: RELEASE_3_20 git_last_commit: 2e76783 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/vulcandata_1.28.0.tar.gz vignettes: vignettes/vulcandata/inst/doc/vulcandata.pdf vignetteTitles: Vulcan: VirtUaL ChIP-Seq Analysis through Networks,, dummy datasets hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/vulcandata/inst/doc/vulcandata.R suggestsMe: vulcan dependencyCount: 1 Package: WeberDivechaLCdata Version: 1.8.0 Depends: ExperimentHub, SpatialExperiment, SingleCellExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: c8a89a9a75b7249249905d8f2e5dc775 NeedsCompilation: no Title: Spatially-resolved transcriptomics and single-nucleus RNA-sequencing data from the locus coeruleus (LC) in postmortem human brain samples Description: Spatially-resolved transcriptomics (SRT) and single-nucleus RNA-sequencing (snRNA-seq) data from the locus coeruleus (LC) in postmortem human brain samples. Data were generated with the 10x Genomics Visium SRT and 10x Genomics Chromium snRNA-seq platforms. Datasets are stored in SpatialExperiment and SingleCellExperiment formats. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, ExpressionData, SequencingData, RNASeqData, SingleCellData, SpatialData, Homo_sapiens_Data Author: Lukas M. Weber [aut, cre] (), Heena R. Divecha [aut] () Maintainer: Lukas M. Weber URL: https://github.com/lmweber/WeberDivechaLCdata VignetteBuilder: knitr BugReports: https://github.com/lmweber/WeberDivechaLCdata/issues git_url: https://git.bioconductor.org/packages/WeberDivechaLCdata git_branch: RELEASE_3_20 git_last_commit: 314c28d git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/WeberDivechaLCdata_1.8.0.tar.gz vignettes: vignettes/WeberDivechaLCdata/inst/doc/WeberDivechaLCdata.html vignetteTitles: WeberDivechaLCdata package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/WeberDivechaLCdata/inst/doc/WeberDivechaLCdata.R suggestsMe: nnSVG dependencyCount: 83 Package: WES.1KG.WUGSC Version: 1.38.0 License: GPL-2 MD5sum: 5fab1142aa178a13bf1f056d9db5d8bb NeedsCompilation: no Title: Whole Exome Sequencing (WES) of chromosome 22 401st to 500th exon from the 1000 Genomes (1KG) Project by the Washington University Genome Sequencing Center (WUGSC). Description: The assembled .bam files of whole exome sequencing data from the 1000 Genomes Project. 46 samples sequenced by the Washington University Genome Sequencing Center are included. biocViews: ExperimentData, Project1000genomes, SequencingData, DNASeqData, Homo_sapiens_Data Author: Yuchao Jiang, Nancy R. Zhang Maintainer: Yuchao Jiang git_url: https://git.bioconductor.org/packages/WES.1KG.WUGSC git_branch: RELEASE_3_20 git_last_commit: c7e4929 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/WES.1KG.WUGSC_1.38.0.tar.gz vignettes: vignettes/WES.1KG.WUGSC/inst/doc/WES.1KG.WUGSC_vignettes.pdf vignetteTitles: Using CODEX hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CODEX, iCNV dependencyCount: 0 Package: WGSmapp Version: 1.18.0 Depends: R (>= 3.6.0), GenomicRanges License: GPL-2 MD5sum: b6b076672a568d3e456f3a934d444c3f NeedsCompilation: no Title: Mappability tracks of Whole-genome Sequencing from the ENCODE Project Description: This package provides whole-genome mappability tracks on human hg19/hg38 assembly. We employed the 100-mers mappability track from the ENCODE Project and computed weighted average of the mappability scores if multiple ENCODE regions overlap with the same bin. “Blacklist” bins, including segmental duplication regions and gaps in reference assembly from telomere, centromere, and/or heterochromatin regions are included. The dataset consists of three assembled .bam files of single-cell whole genome sequencing from 10X for illustration purposes. biocViews: ExperimentData, SequencingData, DNASeqData, SingleCellData, Homo_sapiens_Data, Genome, ENCODE Author: Rujin Wang Maintainer: Rujin Wang git_url: https://git.bioconductor.org/packages/WGSmapp git_branch: RELEASE_3_20 git_last_commit: 95d2dc5 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/WGSmapp_1.18.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SCOPE dependencyCount: 23 Package: xcoredata Version: 1.10.0 Depends: R (>= 4.2) Imports: ExperimentHub (>= 2.2.0), utils (>= 4.2.0) Suggests: BiocGenerics (>= 0.40.0), data.table (>= 1.14.2), GenomeInfoDb (>= 1.30.0), GenomicRanges (>= 1.46.1), IRanges (>= 2.28.0), knitr (>= 1.37), rmarkdown (>= 2.11), Matrix (>= 1.3.4), stringr (>= 1.4.0), S4Vectors (>= 0.32.3), TxDb.Hsapiens.UCSC.hg38.knownGene (>= 3.14.0), xcore License: GPL-2 MD5sum: 7ef4acfdabec19615e077d46749c32be NeedsCompilation: no Title: data package for xcore Description: Provides data to use with xcore package. biocViews: ExperimentHub, ExperimentData, Homo_sapiens_Data Author: Maciej Migdał [aut, cre] (), Bogumił Kaczkowski [aut] () Maintainer: Maciej Migdał VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/xcoredata git_branch: RELEASE_3_20 git_last_commit: 057b9ac git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/xcoredata_1.10.0.tar.gz vignettes: vignettes/xcoredata/inst/doc/xcoredata.html vignetteTitles: xcoredata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/xcoredata/inst/doc/xcoredata.R suggestsMe: xcore dependencyCount: 67 Package: XhybCasneuf Version: 1.44.0 Depends: R (>= 2.4.0), affy , ath1121501cdf , tinesath1cdf , RColorBrewer , methods, grid License: Artistic-2.0 MD5sum: ef8eb72da053078342f2468969e41db2 NeedsCompilation: no Title: EBI/PSB cross-hybridisation study package Description: Cross-hybridisation study on the ATH1 Affymetrix GeneChip biocViews: ExperimentData, Tissue, MicroarrayData, TissueMicroarrayData Author: Tineke Casneuf Maintainer: Tineke Casneuf git_url: https://git.bioconductor.org/packages/XhybCasneuf git_branch: RELEASE_3_20 git_last_commit: 7c36920 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/XhybCasneuf_1.44.0.tar.gz vignettes: vignettes/XhybCasneuf/inst/doc/Xhyb.pdf vignetteTitles: Xhyb hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/XhybCasneuf/inst/doc/Xhyb.R dependencyCount: 53 Package: yeastCC Version: 1.46.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: 5748a2de9c433d4f49c28744fef17e67 NeedsCompilation: no Title: Spellman et al. (1998) and Pramila/Breeden (2006) yeast cell cycle microarray data Description: ExpressionSet for Spellman et al. (1998) yeast cell cycle microarray experiment biocViews: ExperimentData, CellCulture, Saccharomyces_cerevisiae_Data, CancerData, MicroarrayData, OneChannelData, GEO Author: Sandrine Dudoit Maintainer: Sandrine Dudoit git_url: https://git.bioconductor.org/packages/yeastCC git_branch: RELEASE_3_20 git_last_commit: ffa7ac0 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/yeastCC_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: LiquidAssociation suggestsMe: fastLiquidAssociation, ibh dependencyCount: 6 Package: yeastExpData Version: 0.52.0 Depends: R (>= 2.4), graph (>= 1.9.26) Suggests: Biobase, GO.db, RBGL, org.Sc.sgd.db License: GPL MD5sum: 2298a34217fed5055d1526e3d72c1231 NeedsCompilation: no Title: Yeast Experimental Data Description: A collection of different sets of experimental data from yeast. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data Author: R. Gentleman Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/yeastExpData git_branch: RELEASE_3_20 git_last_commit: 4de4f91 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/yeastExpData_0.52.0.tar.gz vignettes: vignettes/yeastExpData/inst/doc/yeastExample.pdf vignetteTitles: Yeast PPI Example hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/yeastExpData/inst/doc/yeastExample.R dependsOnMe: PPInfer suggestsMe: ClusterJudge dependencyCount: 7 Package: yeastGSData Version: 0.44.0 License: Artistic-2.0 MD5sum: bc968a47f5247e09b8a88af9d8289cbb NeedsCompilation: no Title: Yeast Gold Standard Data Description: A collection of so-called gold (and other) standard data sets biocViews: ExperimentData, Saccharomyces_cerevisiae_Data Author: R. Gentleman Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/yeastGSData git_branch: RELEASE_3_20 git_last_commit: 8f5332f git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/yeastGSData_0.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: yeastNagalakshmi Version: 1.42.0 License: Artistic-2.0 MD5sum: ce6fc59baa125ba08237e40b8be636dc NeedsCompilation: no Title: Yeast genome RNA sequencing data based on Nagalakshmi et. al. Description: The yeast genome data was retrieved from the sequence read archive, aligned with bwa, and converted to BAM format with samtools. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, SequencingData, BiocViews, ChIPSeqData Author: Martin Morgan Maintainer: Bioconductor Package Maintainer git_url: https://git.bioconductor.org/packages/yeastNagalakshmi git_branch: RELEASE_3_20 git_last_commit: f6499c2 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/yeastNagalakshmi_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ShortRead dependencyCount: 0 Package: yeastRNASeq Version: 0.44.0 Depends: R (>= 2.4) Suggests: Biobase, ShortRead, IRanges License: GPL MD5sum: 9d6061c54c1265775e1dd58a26822cde NeedsCompilation: no Title: Yeast RNA-Seq Experimental Data from Lee et al. 2008 Description: A selection of RNA-Seq data from a yeast transcriptome experiment. biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData Author: James H. Bullard and Kasper D. Hansen Maintainer: J. Bullard git_url: https://git.bioconductor.org/packages/yeastRNASeq git_branch: RELEASE_3_20 git_last_commit: 1463993 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/yeastRNASeq_0.44.0.tar.gz vignettes: vignettes/yeastRNASeq/inst/doc/yeastRNASeq.pdf vignetteTitles: An overview of yeastRNASeq hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/yeastRNASeq/inst/doc/yeastRNASeq.R suggestsMe: EDASeq dependencyCount: 0 Package: zebrafishRNASeq Version: 1.26.0 Depends: R (>= 2.10) Suggests: BiocStyle, knitr License: GPL MD5sum: 9efd43091fe0990c57a8fc8f5414885b NeedsCompilation: no Title: Zebrafish RNA-Seq Experimental Data from Ferreira et al. (2014) Description: Gene-level read counts from RNA-Seq for gallein-treated and control zebrafish. biocViews: ExperimentData, Danio_rerio_Data, RNASeqData Author: Davide Risso Maintainer: Davide Risso VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/zebrafishRNASeq git_branch: RELEASE_3_20 git_last_commit: 2a0f241 git_last_commit_date: 2024-10-29 Date/Publication: 2024-10-31 source.ver: src/contrib/zebrafishRNASeq_1.26.0.tar.gz vignettes: vignettes/zebrafishRNASeq/inst/doc/preprocessing.html vignetteTitles: Pre-Processing for the Zebrafish RNA-Seq Gene-Level Counts hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/zebrafishRNASeq/inst/doc/preprocessing.R suggestsMe: RUVSeq, sva dependencyCount: 0 Package: curatedCRCData Version: 2.38.0 Depends: R (>= 2.10.0), nlme Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 Title: Colorectal Cancer Gene Expression Analysis Description: The curatedCRC package provides relevant functions and data for gene expression analysis in patients with colorectal cancer. biocViews: Colorectal, Cancer, TCGA, ExperimentData, RNAExpressionData Author: Princy Parsana, Markus Riester, Curtis Huttenhower, Levi Waldron Maintainer: Princy Parsana URL: https://bitbucket.org/biobakery/curatedcrcdata Package: AssessORFData Version: 1.24.0 Depends: R (>= 3.5.0) Imports: DECIPHER, utils Suggests: AssessORF, BiocStyle, knitr, rmarkdown License: GPL-3 NeedsCompilation: no Title: Data and Files for the AssessORF Package Description: This package provides access to mapping and results objects generated by the AssessORF package, as well as the genome sequences for the strains corresponding to those objects. biocViews: OrganismData, Bacillus_subtilis_Data, Escherichia_coli_Data, Pseudomonas_aeruginosa_Data, Staphylococcus_aureus_Data, Genome, Proteome, SequencingData Author: Deepank Korandla [aut, cre] Maintainer: Deepank Korandla VignetteBuilder: knitr