Package: adductData Version: 1.12.0 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: a2d17b315053b81f067e86163132f78d 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_15 git_last_commit: a707fab git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/adductData_1.12.0.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: 88 Package: affycompData Version: 1.34.0 Depends: R (>= 2.13.0), methods, Biobase (>= 2.3.3), affycomp License: GPL (>= 2) MD5sum: 18a752323b4e28b921f83c33bad230ed 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: Harris Jaffee git_url: https://git.bioconductor.org/packages/affycompData git_branch: RELEASE_3_15 git_last_commit: 08784ff git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/affycompData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affycomp dependencyCount: 7 Package: affydata Version: 1.44.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Imports: methods Suggests: hgu95av2cdf, hgu133acdf License: GPL (>= 2) MD5sum: 2b584f2399e9c40feafd420c8ff06842 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: Harris Jaffee git_url: https://git.bioconductor.org/packages/affydata git_branch: RELEASE_3_15 git_last_commit: f18304a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/affydata_1.44.0.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: affy, affycoretools, affyPLM, arrayMvout, bgx, Biostrings, farms, gcrma, Harman, mimager, puma, pvac, RefPlus, RPA, sscore, TurboNorm, vsn, RobLoxBioC dependencyCount: 12 Package: Affyhgu133A2Expr Version: 1.32.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 7cd99e31a0d7e2ebf9219b12a6b4b057 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_15 git_last_commit: db9bda7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Affyhgu133A2Expr_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133aExpr Version: 1.34.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 54d2f12b65178df04d6a1bfc6497d980 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_15 git_last_commit: d50d038 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Affyhgu133aExpr_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133Plus2Expr Version: 1.30.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 99d28100b7a8050eeaf5dc42c459865e 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_15 git_last_commit: ee6cd93 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Affyhgu133Plus2Expr_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: AffymetrixDataTestFiles Version: 0.34.0 Depends: R (>= 2.5.0) License: LGPL-2.1 MD5sum: 0b6500b1e6341fcb2ed164176b3f9cac 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_15 git_last_commit: b6adc5a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/AffymetrixDataTestFiles_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affxparser, affyILM, aroma.affymetrix dependencyCount: 0 Package: Affymoe4302Expr Version: 1.34.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 957b015967eb2c39fd0a9037f16cadcb 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_15 git_last_commit: ffd9b89 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Affymoe4302Expr_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: airway Version: 1.16.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: knitr, GEOquery, markdown License: LGPL MD5sum: 1fc0bd5942964381b754426553583c46 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_15 git_last_commit: 9df499f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/airway_1.16.0.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: consensusDE suggestsMe: apeglm, awst, biobroom, BioCor, BiocSet, CeTF, DelayedArray, DESeq2, EnhancedVolcano, EnrichmentBrowser, ExperimentSubset, ideal, IHW, InteractiveComplexHeatmap, iSEEu, OPWeight, pathwayPCA, pcaExplorer, PCAtools, progeny, runibic, SummarizedExperiment, TTMap, weitrix, IHWpaper, RegParallel, lfc, seqgendiff dependencyCount: 25 Package: ALL Version: 1.38.0 Depends: R (>= 2.10), Biobase (>= 2.5.5) Suggests: rpart License: Artistic-2.0 MD5sum: 95d675251edd8c6ea0b6f9e858dbd4de 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_15 git_last_commit: 284e2cc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ALL_1.38.0.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: a4, a4Base, a4Classif, a4Preproc, Biobase, BioNet, Category, CellMapper, ChromHeatMap, clipper, EnrichmentBrowser, esetVis, genefilter, GeneSelectMMD, GOstats, graphite, GSAR, GSEAlm, MLInterfaces, npGSEA, pathRender, ReportingTools, rScudo, SNAGEE, topGO, SNAGEEdata, MMDvariance, nlcv, SourceSet dependencyCount: 6 Package: ALLMLL Version: 1.36.0 Depends: R (>= 2.10), affy (>= 1.23.4) License: GPL-2 MD5sum: b34ccea0157b73324d1620477dbcb8f9 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_15 git_last_commit: b88230a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ALLMLL_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQualityMetrics, pvac dependencyCount: 12 Package: alpineData Version: 1.22.0 Depends: ExperimentHub, GenomicAlignments Imports: utils, AnnotationHub Suggests: GenomicAlignments, knitr, markdown License: GPL (>=2) MD5sum: c1804f4ae5c9021824434f6ff2fa7735 NeedsCompilation: no Title: Data for the alpine package vignette Description: A small subset of paired-end RNA-seq reads from four samples of the GEUVADIS project. biocViews: SequencingData, RNASeqData, ExpressionData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/alpineData git_branch: RELEASE_3_15 git_last_commit: ff85207 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/alpineData_1.22.0.tar.gz vignettes: vignettes/alpineData/inst/doc/alpineData.html vignetteTitles: tximport hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/alpineData/inst/doc/alpineData.R suggestsMe: alpine dependencyCount: 107 Package: AmpAffyExample Version: 1.36.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Suggests: hgu133acdf License: LGPL (>= 2) MD5sum: cea2261fe9ba6a3579d78aa472c8bb1b 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: Rafael A. Irizarry git_url: https://git.bioconductor.org/packages/AmpAffyExample git_branch: RELEASE_3_15 git_last_commit: 61197a3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/AmpAffyExample_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: AffyRNADegradation dependencyCount: 12 Package: AneuFinderData Version: 1.24.0 Depends: R (>= 3.3) License: file LICENSE MD5sum: 85d0be12e0f5f754a617218bdbe917f9 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_15 git_last_commit: cf6f385 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/AneuFinderData_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: AneuFinder dependencyCount: 0 Package: antiProfilesData Version: 1.32.0 Depends: Biobase, Suggests: frma, GEOquery, GEOmetadb License: Artistic-2.0 MD5sum: dace0c9cf81374339550f966d1c9ec4b 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: RELEASE_3_15 git_last_commit: 47cc252 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/antiProfilesData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: antiProfiles, epivizr, epivizrChart, messina dependencyCount: 6 Package: aracne.networks Version: 1.22.0 Depends: R (>= 3.3), viper License: file LICENSE MD5sum: d534c46cbbdbd6be3433a557f726f681 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_15 git_last_commit: 3ccd86f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/aracne.networks_1.22.0.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: 23 Package: ARRmData Version: 1.32.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: 1ff312abfc8c2d9e50cfff2843636995 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_15 git_last_commit: 8d1af56 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ARRmData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ARRmNormalization dependencyCount: 0 Package: AshkenazimSonChr21 Version: 1.26.0 Suggests: knitr, VariantAnnotation License: Artistic-2.0 MD5sum: 1571cfd0e7ec5aab28dd4f5780f1cdbf 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_15 git_last_commit: 7b30cb7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/AshkenazimSonChr21_1.26.0.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: 1.16.0 Depends: R (>= 3.5) Suggests: knitr, rmarkdown, BiocStyle License: GPL (>= 2) MD5sum: 3a741607f1c092ca3ada9cf0caf86c22 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_15 git_last_commit: 8a0d3df git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ASICSdata_1.16.0.tar.gz vignettes: vignettes/ASICSdata/inst/doc/ASICSdata.html vignetteTitles: ASICSdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ASICS dependencyCount: 0 Package: AssessORFData Version: 1.14.0 Depends: R (>= 3.5.0) Imports: DECIPHER, utils Suggests: AssessORF, BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: b7f004ea388f7380368f1c12ba5b1bc7 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 git_url: https://git.bioconductor.org/packages/AssessORFData git_branch: RELEASE_3_15 git_last_commit: 378affc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/AssessORFData_1.14.0.tar.gz vignettes: vignettes/AssessORFData/inst/doc/AssessORFDataGuide.pdf vignetteTitles: Using AssessORFData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/AssessORFData/inst/doc/AssessORFDataGuide.R suggestsMe: AssessORF dependencyCount: 35 Package: bcellViper Version: 1.32.0 Depends: R(>= 2.14.0), Biobase, methods License: GPL (>=2) MD5sum: 52ca949e553b61bf674fd343eb36e373 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_15 git_last_commit: 5e4a81e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/bcellViper_1.32.0.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, iterClust, pageRank, viper dependencyCount: 6 Package: beadarrayExampleData Version: 1.34.0 Depends: R (>= 2.13.0), Biobase (>= 2.5.5), methods, beadarray (>= 2.0.0) License: GPL-2 MD5sum: 1326b2de25abf15f8d3c4e4360f22f0e 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_15 git_last_commit: 1877b2e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/beadarrayExampleData_1.34.0.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: beadarray, MiRaGE, RobLoxBioC dependencyCount: 81 Package: BeadArrayUseCases Version: 1.34.0 Imports: beadarray (>= 2.3.18), limma, GEOquery Suggests: Biostrings, GenomicRanges, illuminaHumanv1.db, illuminaHumanv2.db, illuminaHumanv3.db License: GPL-2 MD5sum: dfb89e519d9be9492565e4e6fc6cde91 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_15 git_last_commit: 64c0a11 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/BeadArrayUseCases_1.34.0.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: 101 Package: BeadSorted.Saliva.EPIC Version: 1.4.0 Depends: R (>= 4.1), minfi(>= 1.36.0), ExperimentHub Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 4d96660c907b81c3c4c0b20c6dfac6bd NeedsCompilation: no Title: Illumina EPIC data on BeadSorted adult saliva cells Description: Raw data objects used to estimate saliva cell proportion estimates in ewastools. The FlowSorted.Saliva.EPIC object is constructed from saples 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_15 git_last_commit: 9663c1a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/BeadSorted.Saliva.EPIC_1.4.0.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: 164 Package: benchmarkfdrData2019 Version: 1.10.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang License: MIT + file LICENSE MD5sum: fc1999a93815ae2fd410b5c5c793e049 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_15 git_last_commit: c342bd8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/benchmarkfdrData2019_1.10.0.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: 95 Package: beta7 Version: 1.34.0 Depends: R (>= 2.4.0), marray License: LGPL MD5sum: 9b622abc9b29a9f225b8184b6e5e7f8a 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_15 git_last_commit: 07eb7dc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/beta7_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 7 Package: BioImageDbs Version: 1.4.0 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: b91b3279e8d59a795d3eb75a3e547fe9 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_15 git_last_commit: c902c2e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/BioImageDbs_1.4.0.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: 112 Package: biotmleData Version: 1.20.0 Depends: R (>= 3.5.0) Suggests: Biobase, SummarizedExperiment License: file LICENSE MD5sum: cea82c69a80f9147daf3992476f62e4d 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_15 git_last_commit: 5f60c0b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/biotmleData_1.20.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: biotmle dependencyCount: 0 Package: biscuiteerData Version: 1.10.0 Depends: R (>= 3.6.0), ExperimentHub Imports: AnnotationHub, utils, curl Suggests: knitr, rmarkdown, markdown License: GPL-3 MD5sum: 4f12adbb6b471278ccaee02a7cf4e5bd 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_15 git_last_commit: d451ba3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/biscuiteerData_1.10.0.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: 87 Package: bladderbatch Version: 1.34.0 Depends: Biobase License: Artistic-2.0 MD5sum: d020c5241c3b66a90d002fcf82a995d6 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_15 git_last_commit: 75d1a94 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/bladderbatch_1.34.0.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: Harman, sva dependencyCount: 6 Package: blimaTestingData Version: 1.16.0 Depends: R(>= 3.0.0) Suggests: blima, beadarray, illuminaHumanv4.db, BiocStyle License: GPL-3 MD5sum: 78d6865b8be6f6b75e77aa1c38e84754 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_15 git_last_commit: b05f794 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/blimaTestingData_1.16.0.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: 1.16.0 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: 9e627d5de9a87ceb2b0ca91ec43f9256 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_15 git_last_commit: 943865e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/BloodCancerMultiOmics2017_1.16.0.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: 174 Package: bodymapRat Version: 1.12.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat License: CC BY 4.0 MD5sum: 53760c27f267f063d4261be1e9b3b8bf 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_15 git_last_commit: 89845cf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/bodymapRat_1.12.0.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: 95 Package: breakpointRdata Version: 1.14.0 Depends: R (>= 3.5) Suggests: knitr, BiocStyle, License: file LICENSE MD5sum: 4893342d14168f17cfbf176fb5d455b1 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_15 git_last_commit: d8a8c06 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breakpointRdata_1.14.0.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: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: efed830c9fd09f55b956074d4a2f8659 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_15 git_last_commit: cda6296 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerMAINZ_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: DART, genefu, MIGSA, MineICA, STROMA4 dependencyCount: 0 Package: breastCancerNKI Version: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 1c116267d2727ec56722053366455835 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_15 git_last_commit: cd0a85c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerNKI_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, MIGSA, SigCheck, seventyGeneData dependencyCount: 0 Package: breastCancerTRANSBIG Version: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: ce1a4f46c1fea15e84229806b9526b2a 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_15 git_last_commit: a8814bc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerTRANSBIG_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, GSgalgoR, MIGSA, MineICA dependencyCount: 0 Package: breastCancerUNT Version: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: b5bc9b8ea2fbbf70390df34514755bc5 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_15 git_last_commit: 290b595 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerUNT_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, MIGSA dependencyCount: 0 Package: breastCancerUPP Version: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 9232480a17eaa8d54ab8e20069cd99f7 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_15 git_last_commit: d3dbbf2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerUPP_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, GSgalgoR, MIGSA, MineICA, safe dependencyCount: 0 Package: breastCancerVDX Version: 1.34.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 3afe64c33b3c9c5efc09e5945c0b5444 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_15 git_last_commit: c04bb66 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/breastCancerVDX_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: BAGS suggestsMe: AIMS, DART, genefu, MIGSA, MineICA dependencyCount: 0 Package: brgedata Version: 1.18.0 Depends: R (>= 3.5.0), Biobase Imports: SummarizedExperiment Suggests: minfi, MultiAssayExperiment, knitr, rmarkdown, rexposome License: MIT + file LICENSE MD5sum: 67b3645f3735d1c781ae1415fe0d24bf 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_15 git_last_commit: 7fb2842 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/brgedata_1.18.0.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: 25 Package: bronchialIL13 Version: 1.34.0 Depends: R(>= 2.10.0), affy (>= 1.23.4) License: GPL-2 MD5sum: 4db0851bfb78e081e1d5acd603f02f0c 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_15 git_last_commit: 0e1a049 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/bronchialIL13_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: bsseqData Version: 0.34.0 Depends: R (>= 3.5.0), bsseq (>= 1.16.0) License: Artistic-2.0 MD5sum: 4043199eebce666c225c5d40d9e164a1 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_15 git_last_commit: 683fe7c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/bsseqData_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: bsseq, methylSig dependencyCount: 75 Package: cancerdata Version: 1.34.0 Depends: R (>= 2.10.1), Biobase License: GPL (>= 2) MD5sum: f9312cf2fcb3adcf8111a6db19cab8b2 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_15 git_last_commit: a99ac4b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/cancerdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cancerclass dependencyCount: 6 Package: CardinalWorkflows Version: 1.28.0 Depends: R (>= 2.10), Cardinal Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: c9fa12ab65acc23382b178ea7a523c86 NeedsCompilation: no Title: Datasets and workflows for the Cardinal mass spectrometry imaging package 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_15 git_last_commit: 6fc1cfc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CardinalWorkflows_1.28.0.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: 65 Package: ccdata Version: 1.22.0 Depends: R (>= 3.3) License: MIT + file LICENSE MD5sum: 0309120140357098ac832a814f07f482 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_15 git_last_commit: 482f80b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ccdata_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: ccmap suggestsMe: retriever dependencyCount: 0 Package: CCl4 Version: 1.34.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5), limma License: Artistic-2.0 MD5sum: 74c51440810a2dc893566f9c71e88a1c 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_15 git_last_commit: 5b191ab git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CCl4_1.34.0.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: 8 Package: ccTutorial Version: 1.34.0 Depends: R (>= 2.10), Ringo(>= 1.9.8), affy(>= 1.23.4), topGO(>= 1.13.1) Imports: Biobase Suggests: biomaRt, Biobase(>= 2.5.5), xtable License: Artistic-2.0 MD5sum: 9de8a0b326b06931b9852b649efe0dd9 NeedsCompilation: no Title: Data package for ChIP-chip tutorial Description: This is a data package that accompanies a ChIP-chip tutorial, which has been published in PLoS Computational Biology. The data and source code in this package allow the reader to completely reproduce the steps in the tutorial. biocViews: ExperimentData, Mus_musculus_Data, MicroarrayData, ChipOnChipData Author: Joern Toedling, Wolfgang Huber Maintainer: Joern Toedling git_url: https://git.bioconductor.org/packages/ccTutorial git_branch: RELEASE_3_15 git_last_commit: 686461a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ccTutorial_1.34.0.tar.gz vignettes: vignettes/ccTutorial/inst/doc/ccTutorial.pdf, vignettes/ccTutorial/inst/doc/ccTutorialSupplement.pdf vignetteTitles: A tutorial on how to analyze ChIP-chip readouts using Bioconductor, Supplement to A tutorial on how to analyze ChIP-chip readouts using Bioconductor hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ccTutorial/inst/doc/ccTutorial.R, vignettes/ccTutorial/inst/doc/ccTutorialSupplement.R dependencyCount: 87 Package: celarefData Version: 1.14.0 Depends: R (>= 3.5.0) Suggests: ExperimentHub, knitr, rmarkdown License: GPL-3 MD5sum: dcf36371dd39465e976485f176afd67b 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_15 git_last_commit: ea8db12 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/celarefData_1.14.0.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: 1.6.0 Depends: SummarizedExperiment Imports: utils, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats Suggests: testthat, knitr, rmarkdown, BiocStyle, DT License: GPL-3 MD5sum: 6931ff8dc0a5c16facc471df3526cffd NeedsCompilation: no Title: Reference Index for Cell Types 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_15 git_last_commit: c2ebef9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/celldex_1.6.0.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.basic, OSCA.workflows importsMe: singleCellTK suggestsMe: ontoProc, SingleR, tidySingleCellExperiment, SingleRBook dependencyCount: 97 Package: CellMapperData Version: 1.22.0 Depends: ExperimentHub, CellMapper Suggests: BiocStyle License: Artistic-2.0 MD5sum: 444fe053a3770f5454d7949b1cedb767 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_15 git_last_commit: 0493cfa git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CellMapperData_1.22.0.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: 88 Package: ChAMPdata Version: 2.28.0 Depends: R (>= 3.5.0), GenomicRanges (>= 1.22.4), BiocGenerics (>= 0.16.1) License: GPL-3 MD5sum: f49dbecff08ff5a942f67da8ec399d99 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_15 git_last_commit: 601555b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ChAMPdata_2.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChAMP dependencyCount: 16 Package: ChIC.data Version: 1.16.0 Depends: R (>= 3.5), genomeIntervals, randomForest Imports: caret (>= 6.0-78) License: GPL-2 MD5sum: 164f7da2e1b7b972708db2af778766c5 NeedsCompilation: no Title: ChIC package data Description: This package contains annotation and metagene profile data for the ChIC package. biocViews: ExperimentData, ENCODE Author: Carmen Maria Livi [aut, cre, dtc], Endre Sebestyen [aut] Maintainer: Carmen Maria Livi git_url: https://git.bioconductor.org/packages/ChIC.data git_branch: RELEASE_3_15 git_last_commit: 759a6be git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ChIC.data_1.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: ChIC dependencyCount: 94 Package: ChimpHumanBrainData Version: 1.34.0 Depends: affy,qvalue,limma,hexbin,statmod License: MIT MD5sum: d44a1639c9910c1197e6e50004313016 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_15 git_last_commit: 3fb57fa git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ChimpHumanBrainData_1.34.0.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: 53 Package: chipenrich.data Version: 2.20.0 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: dc60699f77016b7ba5992fee4ff17946 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: Raymond G. Cavalcante VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/chipenrich.data git_branch: RELEASE_3_15 git_last_commit: f6513fe git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/chipenrich.data_2.20.0.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: 88 Package: ChIPexoQualExample Version: 1.20.0 Depends: R (>= 3.3) Suggests: BiocStyle, knitr, rmarkdown License: GPL (>= 2) MD5sum: 083e8081d7f87948c0c6deed9ab55f78 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_15 git_last_commit: c9910ea git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ChIPexoQualExample_1.20.0.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: 1.12.0 Imports: AnnotationHub, ExperimentHub, Rsamtools, S4Vectors Suggests: knitr, BiocStyle, rmarkdown License: CC BY 4.0 MD5sum: 4f3fe74980be934226889ae7c3da54ba 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_15 git_last_commit: ae4eeaf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/chipseqDBData_1.12.0.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: 99 Package: ChIPXpressData Version: 1.34.0 Depends: bigmemory License: GPL (>=2) MD5sum: 7ca2055d29417251ed284d140c33c798 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_15 git_last_commit: 7ada944 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ChIPXpressData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChIPXpress dependencyCount: 7 Package: chromstaRData Version: 1.22.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: 8726c6be2822df280fbb9b9c75f008b0 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_15 git_last_commit: 6333b11 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/chromstaRData_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: chromstaR suggestsMe: epigraHMM dependencyCount: 0 Package: CLL Version: 1.36.0 Depends: R (>= 2.10), affy (>= 1.23.4), Biobase (>= 2.5.5) License: LGPL MD5sum: 80f4e136053642b5df78667b73112f78 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_15 git_last_commit: 8c35b28 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CLL_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: CLLmethylation Version: 1.16.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment, ExperimentHub Suggests: BiocStyle, ggplot2, knitr, rmarkdown License: LGPL MD5sum: 347044d5aaf5cb0e453b5ad7a261fd35 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_15 git_last_commit: db79dca git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CLLmethylation_1.16.0.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: 95 Package: CluMSIDdata Version: 1.12.0 Depends: R (>= 3.6) License: MIT + file LICENSE MD5sum: e7b838d69c5d9ef8e6decff126937908 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_15 git_last_commit: 70815e9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CluMSIDdata_1.12.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: CluMSID dependencyCount: 0 Package: clustifyrdatahub Version: 1.6.0 Depends: R (>= 4.0), ExperimentHub Imports: utils Suggests: clustifyr, Seurat, usethis, rmarkdown, knitr, tidyr, BiocStyle License: MIT + file LICENSE MD5sum: 6b87932fe0eb796603ea7f3174ebcbd0 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, cre] (), Kent Riemondy [aut] (), RNA Bioscience Initiative [fnd], Austin Gillen [ctb] (), Jay Hesselberth [ctb] (), Sidhant Puntambekar [ctb] Maintainer: Rui Fu 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_15 git_last_commit: 6a0ec17 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/clustifyrdatahub_1.6.0.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: 87 Package: cMap2data Version: 1.32.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: f61ab6d74b214ce7839a4683ac68762a 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_15 git_last_commit: 0e38767 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/cMap2data_1.32.0.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: 1.32.0 Depends: R (>= 2.10), cnvGSA License: LGPL MD5sum: 8ba677d1ff856efc88108a17ae4c4af0 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_15 git_last_commit: 78110e3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/cnvGSAdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cnvGSA dependencyCount: 26 Package: COHCAPanno Version: 1.32.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 694af81aba02d9df295635884665461e 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_15 git_last_commit: 9784c2d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/COHCAPanno_1.32.0.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 dependsOnMe: COHCAP dependencyCount: 0 Package: colonCA Version: 1.38.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: 1f18d0abdec20fef608ed46020a60372 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_15 git_last_commit: 72f2374 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/colonCA_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: clustComp, copa dependencyCount: 6 Package: CONFESSdata Version: 1.24.0 Depends: R (>= 3.3) License: GPL-2 MD5sum: d3fee69c8cff163fbeecaad095bcb73c 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_15 git_last_commit: 257439c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CONFESSdata_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CONFESS dependencyCount: 0 Package: ConnectivityMap Version: 1.32.0 Depends: R (>= 2.15.1) Suggests: RUnit, BiocGenerics License: GPL-3 MD5sum: e424a1e99d213dcec2bd690c55886d09 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_15 git_last_commit: 5c1c8d9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ConnectivityMap_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: COPDSexualDimorphism.data Version: 1.32.0 License: LGPL-2.1 MD5sum: 720df36d6831c63b14a974d8e9e75d08 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_15 git_last_commit: 5c1674c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/COPDSexualDimorphism.data_1.32.0.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: 1.28.0 Depends: R (>= 3.5.0) Suggests: BiocStyle License: GPL-2 MD5sum: 06f84e89b24220e283d9a97e0b8206f0 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_15 git_last_commit: 168c095 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CopyhelpeR_1.28.0.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 importsMe: CopywriteR dependencyCount: 0 Package: CopyNeutralIMA Version: 1.14.0 Depends: R (>= 3.5.0) Imports: ExperimentHub,Rdpack (>= 0.8) Suggests: BiocStyle,knitr,rmarkdown,minfi,conumee,minfiData License: Artistic-2.0 MD5sum: 7d27aed2d418138e1a79a577a93c3ab1 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_15 git_last_commit: 8fea9e9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CopyNeutralIMA_1.14.0.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: 89 Package: COSMIC.67 Version: 1.32.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, SummarizedExperiment, VariantAnnotation Suggests: testthat, BiocStyle, knitr License: GPL-3 MD5sum: c7d675182eef13b2c217700520a8559f 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_15 git_last_commit: 0ad9fe4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/COSMIC.67_1.32.0.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: 99 Package: CRCL18 Version: 1.16.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: 680d320f3bc957cd9fb4926cf7bdd814 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_15 git_last_commit: 1c727ff git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/CRCL18_1.16.0.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: 1.0.0 Depends: ExperimentHub Imports: utils Suggests: BiocStyle, knitr, rmarkdown, testthat License: MIT + file LICENSE MD5sum: f8c77b9c41f6e6ae54ad643bcd51906c 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/Jfortin1/crisprScoreData/issues VignetteBuilder: knitr BugReports: https://github.com/Jfortin1/crisprScoreData git_url: https://git.bioconductor.org/packages/crisprScoreData git_branch: RELEASE_3_15 git_last_commit: cbae934 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/crisprScoreData_1.0.0.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 dependencyCount: 87 Package: curatedAdipoArray Version: 1.8.0 Depends: R (>= 4.0) Suggests: knitr, rmarkdown, ExperimentHub, SummarizedExperiment License: GPL-3 + file LICENSE MD5sum: f8a5f1c3008b9bad52c0afd66da0cf67 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_15 git_last_commit: 3596311 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedAdipoArray_1.8.0.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: 1.12.0 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: b551fa8ce5c470ace56cc7734d1a23f5 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_15 git_last_commit: 646420d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedAdipoChIP_1.12.0.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: 95 Package: curatedAdipoRNA Version: 1.12.0 Depends: R (>= 3.6), SummarizedExperiment Suggests: knitr, rmarkdown, DESeq2, fastqcr, devtools, testthat, readr, dplyr, tidyr, ggplot2, S4Vectors License: GPL-3 MD5sum: 890ea21122045e3c721b089052df9c6b 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_15 git_last_commit: e28f5de git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedAdipoRNA_1.12.0.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: 25 Package: curatedBladderData Version: 1.32.0 Depends: R (>= 2.10.0), affy Suggests: BiocStyle, survival, xtable, sva, genefilter, logging License: Artistic-2.0 MD5sum: 804090dc74f563b3dbe7f422be693a29 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_15 git_last_commit: 8d4f572 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedBladderData_1.32.0.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: 2.24.0 Depends: R (>= 3.0.0), XML, ggplot2, impute, Biobase, BiocStyle Imports: methods, stats License: GPL (>= 2) MD5sum: 60bc5746243873c741c02f2d9e5dce32 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_15 git_last_commit: f21a7f3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedBreastData_2.24.0.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: curatedCRCData Version: 2.28.0 Depends: R (>= 2.10.0), nlme Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 MD5sum: 00d2c301885694ce0b088e5a650d881b NeedsCompilation: no 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 git_url: https://git.bioconductor.org/packages/curatedCRCData git_branch: RELEASE_3_15 git_last_commit: b4c972b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedCRCData_2.28.0.tar.gz vignettes: vignettes/curatedCRCData/inst/doc/curatedCRCData_vignette.pdf vignetteTitles: curatedCRCData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedCRCData/inst/doc/curatedCRCData_vignette.R dependencyCount: 9 Package: curatedMetagenomicData Version: 3.4.2 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: c19a4767ede36fb7f0d8864f713f0ace 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_15 git_last_commit: 4a89d2b git_last_commit_date: 2022-05-18 Date/Publication: 2022-05-19 source.ver: src/contrib/curatedMetagenomicData_3.4.2.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: lefser, MMUPHin dependencyCount: 158 Package: curatedOvarianData Version: 1.34.0 Depends: R (>= 2.10.0), affy Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 MD5sum: c236f93cc453afeda963efa8cf5213ee 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_15 git_last_commit: 72af689 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedOvarianData_1.34.0.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: doppelgangR dependencyCount: 12 Package: curatedTBData Version: 1.2.0 Depends: R (>= 4.1.0) Imports: AnnotationHub, ExperimentHub, MultiAssayExperiment, rlang, stats Suggests: BiocStyle, DT, dplyr, HGNChelper, knitr, methods, rmarkdown, SummarizedExperiment, sva, testthat License: MIT + file LICENSE MD5sum: c31e34a8f7c4679a324620ef216d266a NeedsCompilation: no Title: Curation of existing 49 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_15 git_last_commit: 796d9d4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedTBData_1.2.0.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: 98 Package: curatedTCGAData Version: 1.18.0 Depends: R (>= 3.5.0), MultiAssayExperiment Imports: AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils Suggests: BiocStyle, knitr, RaggedExperiment, readr, rmarkdown, TCGAutils, testthat License: Artistic-2.0 MD5sum: 262dc70397d6c6e70add64edce3e6872 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_15 git_last_commit: 677525d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/curatedTCGAData_1.18.0.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, BiocOncoTK suggestsMe: CNVRanger, dce, deco, glmSparseNet, netDx, TCGAutils dependencyCount: 102 Package: DAPARdata Version: 1.26.5 Depends: R (>= 4.2.0), MSnbase Imports: utils Suggests: knitr License: GPL-2 MD5sum: aef3006f18a7b568708f3b9a0fd18edd 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: Florence Combes [aut], Samuel Wieczorek [cre, 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_15 git_last_commit: 9c66fec git_last_commit_date: 2022-07-01 Date/Publication: 2022-07-05 source.ver: src/contrib/DAPARdata_1.26.5.tar.gz vignettes: vignettes/DAPARdata/inst/doc/dapardata.pdf vignetteTitles: DAPARdata User Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DAPARdata/inst/doc/dapardata.R importsMe: DAPAR suggestsMe: Prostar dependencyCount: 75 Package: davidTiling Version: 1.36.0 Depends: R (>= 2.10), Biobase (>= 2.5.5), tilingArray, GO.db License: LGPL MD5sum: 1d533380432f1c3c9e6e72a466ff8662 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_15 git_last_commit: f1a9aed git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/davidTiling_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 87 Package: depmap Version: 1.10.0 Depends: R (>= 3.6), methods, dplyr Imports: utils, ExperimentHub, AnnotationHub Suggests: knitr, rmarkdown, BiocStyle, viridis, gridExtra, ggplot2, readr, tibble, stringr, tidyr License: Artistic-2.0 MD5sum: d4b3feaa1c731ab8228d4a097151c86f 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] Maintainer: Laurent Gatto VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/depmap git_branch: RELEASE_3_15 git_last_commit: 58eb41a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/depmap_1.10.0.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: MAGeCKFlute suggestsMe: BioPlex dependencyCount: 87 Package: derfinderData Version: 2.14.0 Depends: R (>= 3.5.0) Suggests: sessioninfo, knitr (>= 1.6), RefManageR, rmarkdown (>= 0.3.3), BiocStyle License: Artistic-2.0 MD5sum: 7833c2f404163a2877055c3a5a590bd5 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_15 git_last_commit: d70d807 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/derfinderData_2.14.0.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: derfinder, derfinderPlot dependencyCount: 0 Package: DeSousa2013 Version: 1.32.0 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: 254e4c2e558f4157c599d6512030c118 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_15 git_last_commit: c3175ac git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DeSousa2013_1.32.0.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: 115 Package: DExMAdata Version: 1.4.0 Depends: R (>= 4.1) Imports: Biobase Suggests: BiocStyle License: GPL-2 MD5sum: 866c3d0c5530ba4753f56b9b8715685d 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_15 git_last_commit: 219d868 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DExMAdata_1.4.0.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: 1.24.0 Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: 621a3efffbb491c8d6dcd498c3b1c66b 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_15 git_last_commit: 4fc314d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/diffloopdata_1.24.0.tar.gz vignettes: vignettes/diffloopdata/inst/doc/diffloopdata.html vignetteTitles: diffloopdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: diffloop dependencyCount: 0 Package: diggitdata Version: 1.28.0 Depends: R(>= 2.14.0), Biobase, methods Imports: viper License: GPL (>=2) MD5sum: bddbd8d58b0a02175d4d70f0bacdc95f 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_15 git_last_commit: aa70dcf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/diggitdata_1.28.0.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: 23 Package: DLBCL Version: 1.36.0 Depends: R(>= 2.11.0), Biobase License: GPL (>=2) MD5sum: 2160a6633b64da51f381290ec53d1497 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_15 git_last_commit: 9f3ee76 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DLBCL_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: BioNet, SANTA, mwcsr dependencyCount: 6 Package: DmelSGI Version: 1.28.1 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: 89367437f2933318d63a319868a8a15e 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: RELEASE_3_15 git_last_commit: 5f759eb git_last_commit_date: 2022-08-31 Date/Publication: 2022-09-08 source.ver: src/contrib/DmelSGI_1.28.1.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 dependencyCount: 35 Package: DMRcatedata Version: 2.14.0 Depends: R (>= 3.6), ExperimentHub Imports: GenomicFeatures, Gviz, readxl, plyr, rtracklayer, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Suggests: knitr License: GPL-3 MD5sum: abe11ad0d69f9d613f15f9bc6e8e6060 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_15 git_last_commit: 4ba1bae git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DMRcatedata_2.14.0.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: DonaPLLP2013 Version: 1.34.0 Depends: EBImage, parallel License: Artistic-2.0 MD5sum: fc77fb1576770d974afd045d558dd9a8 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_15 git_last_commit: bcfbeaf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DonaPLLP2013_1.34.0.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: 26 Package: dorothea Version: 1.8.0 Depends: R (>= 4.0) Imports: dplyr, magrittr, bcellViper, viper Suggests: Biobase, BiocStyle, knitr, pheatmap, pkgdown, rmarkdown, Seurat, SingleCellExperiment, SummarizedExperiment, testthat (>= 2.1.0), tibble, tidyr, utils License: GPL-3 + file LICENSE MD5sum: 3655ccf508342f44ff73d4f91b14378f 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: Daniel Dimitrov [cre] (), Christian H. Holland [aut] (), Luz Garcia-Alonso [aut], Alberto Valdeolivas [ctb], Minoo Ashtiani [ctb], Attila Gabor [ctb] Maintainer: Daniel Dimitrov 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_15 git_last_commit: 12dd3d0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/dorothea_1.8.0.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: MethReg dependencyCount: 40 Package: DREAM4 Version: 1.31.0 Depends: R (>= 2.15.1), SummarizedExperiment Suggests: RUnit, networkBMA License: GPL MD5sum: 7ddde89664a3b634a59cea09205d063f NeedsCompilation: no Title: Synthetic Expression Data for Gene Regulatory Network Inference from the 2009 DREAM4 challenge Description: Simulated expression data for five 10-node, and five 100-node networks, with associated data (including solutions) from the 2009 DREAM4 challenge. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, SequencingData Author: Paul Shannon Maintainer: Paul Shannon git_url: https://git.bioconductor.org/packages/DREAM4 git_branch: master git_last_commit: 4656096 git_last_commit_date: 2021-10-26 Date/Publication: 2022-01-06 source.ver: src/contrib/DREAM4_1.31.0.tar.gz vignettes: vignettes/DREAM4/inst/doc/DREAM4_InSilico_Description.pdf, vignettes/DREAM4/inst/doc/DREAM4.pdf vignetteTitles: DREAM4_InSilico_Description.pdf, DREAM4 Overview hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DREAM4/inst/doc/DREAM4.R dependencyCount: 25 Package: dressCheck Version: 0.34.0 Depends: R (>= 2.10.1), methods, Biobase (>= 2.5.5) Suggests: survival, chron License: Artistic-2.0 MD5sum: 4c83f079c702f13a2ad05a8949646de3 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_15 git_last_commit: 9266041 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/dressCheck_0.34.0.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: 1.6.0 Imports: utils, ExperimentHub, AnnotationHub, S4Vectors Suggests: BiocStyle, knitr, rmarkdown, testthat, DropletUtils License: GPL-3 MD5sum: 6261e59459912bc8984b2e9d51d669c6 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_15 git_last_commit: 07ab07f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DropletTestFiles_1.6.0.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.advanced, OSCA.intro, OSCA.workflows suggestsMe: DropletUtils dependencyCount: 87 Package: DrugVsDiseasedata Version: 1.32.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 2e8433eb791f82c167412b807d1a14b1 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_15 git_last_commit: e7f5a2c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DrugVsDiseasedata_1.32.0.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: 1.14.0 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: e69e75f40540837b65930256b143c682 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_15 git_last_commit: 5aa4100 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DuoClustering2018_1.14.0.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: 114 Package: DvDdata Version: 1.32.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: b82323b3ad8ed765dfbb0c93c8295994 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_15 git_last_commit: 5f35938 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/DvDdata_1.32.0.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: 1.36.0 Depends: R (>= 1.4.1), marray, GEOquery Suggests: dyebias, convert, Biobase License: GPL-3 MD5sum: 54e82d2b1ed05bdcebdce4fbe7441a54 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_15 git_last_commit: 2d9f6a8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/dyebiasexamples_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: dyebias dependencyCount: 47 Package: easierData Version: 1.2.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, utils, SummarizedExperiment Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0) License: MIT + file LICENSE MD5sum: 1f8ba21b31c49cba20ff20b6e03ca14c 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_15 git_last_commit: f2830c9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/easierData_1.2.0.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: 95 Package: EatonEtAlChIPseq Version: 0.34.0 Depends: GenomicRanges (>= 1.5.42), ShortRead, rtracklayer License: Artistic 2.0 MD5sum: a62429b343e11b1c1c98747f7667b689 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_15 git_last_commit: 4992714 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/EatonEtAlChIPseq_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 56 Package: ecoliLeucine Version: 1.36.0 Depends: R (>= 1.9.0), affy (>= 1.23.4), ecolicdf License: GPL (>= 2) MD5sum: c0cf5647135ad5e755007fb1404a3d6d 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_15 git_last_commit: db3f5fb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ecoliLeucine_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ecolitk dependencyCount: 50 Package: EGSEAdata Version: 1.24.0 Depends: R (>= 3.4) Suggests: EGSEA License: file LICENSE MD5sum: d4b3e83163489bc73cac386d53e54e43 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_15 git_last_commit: 12d917a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/EGSEAdata_1.24.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: EGSEA dependencyCount: 0 Package: ELMER.data Version: 2.20.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: BiocStyle, knitr, dplyr, devtools, DT, rmarkdown License: GPL-3 MD5sum: 1bf423869f0fbe1defa0ebe25302d9a9 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_15 git_last_commit: 375789b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ELMER.data_2.20.0.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 dependencyCount: 16 Package: emtdata Version: 1.4.0 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: 4d7444ef21183645c990b9b581395737 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_15 git_last_commit: ad785c6 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/emtdata_1.4.0.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: 98 Package: epimutacionsData Version: 1.0.0 Depends: R (>= 4.2.0) Suggests: rmarkdown, BiocStyle, knitr, ExperimentHub, minfi License: MIT + file LICENSE MD5sum: 9c6b32369f36c865ffa25e4b6d8bdae0 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_15 git_last_commit: 939ec88 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/epimutacionsData_1.0.0.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: estrogen Version: 1.42.0 Suggests: affy, hgu95av2, hgu95av2cdf, vsn, knitr License: LGPL MD5sum: b019528e6e763fd0e0c9c40d06247f16 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_15 git_last_commit: aa666ff git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/estrogen_1.42.0.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: 1.24.0 Depends: R (>= 3.3), Biobase, metagenomeSeq(>= 1.12.0) License: Artistic-2.0 MD5sum: 5aed3ae398ac325d5e870db8ec67d7b0 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: RELEASE_3_15 git_last_commit: 61f19f9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/etec16s_1.24.0.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 suggestsMe: metavizr dependencyCount: 31 Package: ewceData Version: 1.4.0 Depends: R (>= 4.1), ExperimentHub Suggests: knitr, BiocStyle, ggplot2, cowplot, rmarkdown, markdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 2c4ea5b25f3d5c3f02281690debcecc8 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_15 git_last_commit: 3b9f1a5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ewceData_1.4.0.tar.gz vignettes: vignettes/ewceData/inst/doc/ewceData.html vignetteTitles: Data package for Expression Weighted Celltype Enrichment EWCE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ewceData/inst/doc/ewceData.R importsMe: EWCE dependencyCount: 87 Package: faahKO Version: 1.36.0 Depends: R (>= 2.10), xcms (>= 3.4.0) License: LGPL MD5sum: 94f236bb8bc952af110353843f07fd38 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_15 git_last_commit: b3b5fdf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/faahKO_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: cosmiq suggestsMe: CAMERA, IPO, MAIT, peakPantheR, Risa, xcms dependencyCount: 92 Package: fabiaData Version: 1.34.0 Depends: R (>= 2.10.0), Biobase Imports: utils Suggests: fabia License: LGPL (>= 2.1) MD5sum: c8bbfdd5cd5230d8885a49b4c5643570 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_15 git_last_commit: c52a86a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/fabiaData_1.34.0.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: 1.32.0 Depends: R (>= 2.15.0) License: GPL-3 MD5sum: 77aea5fef9a9cc57252482cefabd28e9 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_15 git_last_commit: 766624a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FANTOM3and4CAGE_1.32.0.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: 1.34.0 Depends: R (>= 2.10.0), lumi Suggests: genefilter, affy License: GPL (>2) MD5sum: 5644a9a897c3a134d590ee6c454b11d9 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_15 git_last_commit: 079f39b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ffpeExampleData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ffpe dependencyCount: 163 Package: fibroEset Version: 1.38.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: 710a17e34ddd62764e73bf748de49050 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_15 git_last_commit: 9b90bda git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/fibroEset_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biocGraph, clusterStab, geneplotter dependencyCount: 6 Package: FieldEffectCrc Version: 1.6.0 Depends: utils Imports: BiocStyle, RUnit, SummarizedExperiment, ExperimentHub (>= 0.99.6), AnnotationHub, DESeq2 Suggests: knitr, rmarkdown, BiocGenerics, sva, BiocManager License: Artistic-2.0 MD5sum: 106dd385c5c5befaa72aa3a2acb3f730 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_15 git_last_commit: ca3a949 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FieldEffectCrc_1.6.0.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: 137 Package: FIs Version: 1.24.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: c3d256df7d0929016252e254c33eb357 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_15 git_last_commit: b0bc9bf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FIs_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: splineTimeR dependencyCount: 0 Package: fission Version: 1.16.0 Depends: R (>= 2.10), SummarizedExperiment Suggests: knitr, markdown License: LGPL MD5sum: be62c9b810fb46b7f8cbd7ea1139c296 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_15 git_last_commit: 4715feb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/fission_1.16.0.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: 25 Package: Fletcher2013a Version: 1.32.0 Depends: R (>= 2.15), limma Imports: Biobase ,VennDiagram, gplots,grid License: GPL (>= 2) MD5sum: 6510324e810922bc98780dfba2f3e284 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_15 git_last_commit: 982dd7a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Fletcher2013a_1.32.0.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 dependencyCount: 19 Package: Fletcher2013b Version: 1.32.0 Depends: R (>= 2.15), Fletcher2013a, RTN (>= 1.1.2), RedeR (>= 1.8.1), igraph Imports: RColorBrewer License: GPL (>= 2) MD5sum: 73fe581c630fcee812a44e8bca936213 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_15 git_last_commit: 8f84221 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Fletcher2013b_1.32.0.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: geneplast, RTNsurvival dependencyCount: 131 Package: flowPloidyData Version: 1.22.0 Suggests: knitr, rmarkdown, flowCore License: GPL-3 MD5sum: ec90968afcfa3883e3883080e4356874 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_15 git_last_commit: e28127a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/flowPloidyData_1.22.0.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: 1.34.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 6a1c7c21a6d67915d2bb0af1d82a1968 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_15 git_last_commit: 783f9c7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.Blood.450k_1.34.0.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: mCSEA, minfi, wateRmelon, FlowSorted.Blood.EPIC dependencyCount: 142 Package: FlowSorted.Blood.EPIC Version: 2.0.0 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), IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Enhances: FlowSorted.CordBloodCombined.450k(>= 1.11.5) License: GPL-3 MD5sum: b8286dc475ce42e2ee76bf73595ae202 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_15 git_last_commit: 26fd5f8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.Blood.EPIC_2.0.0.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 suggestsMe: DMRcate, wateRmelon, FlowSorted.CordBloodCombined.450k dependencyCount: 164 Package: FlowSorted.CordBlood.450k Version: 1.24.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: a8d34c062cca1cc8f96b1616e69a1f0c 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_15 git_last_commit: 4d3697f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.CordBlood.450k_1.24.0.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: 142 Package: FlowSorted.CordBloodCombined.450k Version: 1.12.0 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: 3fd1741c848177c0d65f5b9c3aa78a89 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_15 git_last_commit: 235ba6f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.CordBloodCombined.450k_1.12.0.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: 166 Package: FlowSorted.CordBloodNorway.450k Version: 1.22.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 63f87745e7a6491fdc25cba2af915d69 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_15 git_last_commit: 31e33cf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.CordBloodNorway.450k_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 142 Package: FlowSorted.DLPFC.450k Version: 1.32.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: c2e481bb9217a356a89dec61acc7ff08 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_15 git_last_commit: 737cdb2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/FlowSorted.DLPFC.450k_1.32.0.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 dependencyCount: 142 Package: flowWorkspaceData Version: 3.8.0 License: GPL-2 MD5sum: c0b2793c042bc076080cf8f8ac7ba3c0 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_15 git_last_commit: 4723f10 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/flowWorkspaceData_3.8.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: COMPASS, CytoML, flowClust, flowCore, flowWorkspace, ggcyto, openCyto dependencyCount: 0 Package: frmaExampleData Version: 1.32.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 52a58a1dd7f9e21468b1d713d81008af 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_15 git_last_commit: c2efab5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/frmaExampleData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: frma, frmaTools dependencyCount: 0 Package: furrowSeg Version: 1.24.0 Depends: R (>= 3.3), EBImage Imports: abind, dplyr, locfit, tiff Suggests: BiocStyle, ggplot2, knitr License: Artistic-2.0 MD5sum: cb47c95ceff67403fd745d05fb765f2a 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_15 git_last_commit: 507991f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/furrowSeg_1.24.0.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: 40 Package: gageData Version: 2.34.0 Depends: R (>= 2.10) Suggests: gage, pathview, genefilter License: GPL (>=2.0) MD5sum: aef2e8bb7b8d1a0a6d278d1825eb59bd 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_15 git_last_commit: 92e377c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/gageData_2.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: gage dependencyCount: 0 Package: gaschYHS Version: 1.34.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: db40cd71f3a9ed63783ae8a68b30b54c 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_15 git_last_commit: 734dd18 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/gaschYHS_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 6 Package: gatingMLData Version: 2.36.0 Depends: R (>= 1.9.0) Suggests: flowUtils License: GPL MD5sum: 33e929ff595996eff225d2f234c685ee NeedsCompilation: no Title: Data and XML files for Gating-ML Test suite Description: Test data and XML files for testing compliance of the flowUtils/flowCore packages with Gating-ML (1.5 and 2.0) standards. biocViews: ExperimentData, FlowCytometryData Author: J. Spidlen, N. Gopalakrishnan Maintainer: J. Spidlen git_url: https://git.bioconductor.org/packages/gatingMLData git_branch: RELEASE_3_15 git_last_commit: 301df52 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/gatingMLData_2.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: flowUtils dependencyCount: 0 Package: gcspikelite Version: 1.34.0 Depends: R (>= 2.5.0) License: LGPL MD5sum: fbbb172501c0fdc0aaae6eb53ba257c2 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_15 git_last_commit: d02a706 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/gcspikelite_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: flagme dependencyCount: 0 Package: geneLenDataBase Version: 1.32.0 Depends: R (>= 2.11.0) Imports: utils, rtracklayer, GenomicFeatures (>= 1.3.15) License: LGPL (>= 2) MD5sum: e0c4c090bd07ac096febd7fb5f8151e8 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 biocViews: ExperimentData, Genome Author: Matthew Young Maintainer: Matthew Young , Nadia Davidson git_url: https://git.bioconductor.org/packages/geneLenDataBase git_branch: RELEASE_3_15 git_last_commit: eaa193a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/geneLenDataBase_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: goseq importsMe: SMITE dependencyCount: 97 Package: genomationData Version: 1.28.0 Suggests: knitr License: GPL-3 MD5sum: fbbd531b6b988ed7bc674de14ee05f6a 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_15 git_last_commit: 3602310 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/genomationData_1.28.0.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: 1.4.0 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: 6841c0a2a0f013ce5f7056589aa5568a 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_15 git_last_commit: a1a67f8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GenomicDistributionsData_1.4.0.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: 125 Package: GeuvadisTranscriptExpr Version: 1.24.0 Depends: R (>= 3.5.0) Suggests: limma, rtracklayer, GenomicRanges, Rsamtools, VariantAnnotation, tools, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: 0980e0ccad54df786f58be4585b929fb 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_15 git_last_commit: 96aa112 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GeuvadisTranscriptExpr_1.24.0.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: 1.14.0 Depends: R (>= 3.5) Suggests: GIGSEA, knitr, rmarkdown License: LGPL-3 MD5sum: 7426346294dc9a1a24f6e51e1d439e99 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_15 git_last_commit: 9192847 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GIGSEAdata_1.14.0.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: 1.38.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: LGPL MD5sum: 416212628b94dfbd2ae2894a552df2af 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_15 git_last_commit: 6ddb45f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/golubEsets_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: adSplit, Biobase, biosigner, GlobalAncova, globaltest, idiogram, MLInterfaces, pvca, RDRToolbox, twilight dependencyCount: 6 Package: gpaExample Version: 1.8.0 Depends: R (>= 4.0.0) License: GPL (>= 2) MD5sum: d5322d7e88f26b9288df6dde905cdaec 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_15 git_last_commit: db90d5a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/gpaExample_1.8.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GPA dependencyCount: 0 Package: grndata Version: 1.28.0 Depends: R (>= 2.10) Suggests: RUnit, BiocGenerics, knitr License: GPL-3 MD5sum: 7e14cd5484bc373e4819c8bdfedd829f 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_15 git_last_commit: 0448c74 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/grndata_1.28.0.tar.gz vignettes: vignettes/grndata/inst/doc/grndata.html vignetteTitles: GRNdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: GSBenchMark Version: 1.16.0 Depends: R (>= 2.13.1) License: GPL-2 MD5sum: bfd04059752926e51f95d37b0574b49b 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_15 git_last_commit: 5a49a24 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSBenchMark_1.16.0.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: 1.2.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, SummarizedExperiment, SingleCellExperiment License: Artistic-2.0 MD5sum: 5e61a2bbd8d59bf2075d70260429bb5a 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_15 git_last_commit: e8776b4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSE103322_1.2.0.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: 46 Package: GSE13015 Version: 1.4.0 Depends: Biobase, GEOquery Imports: preprocessCore, SummarizedExperiment, GEOquery, Biobase Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown License: MIT License MD5sum: a5f2fd9c6cca0a9e5cacc63144df47e3 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_15 git_last_commit: 6f67642 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSE13015_1.4.0.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: 64 Package: GSE159526 Version: 1.2.0 Suggests: ExperimentHub, BiocStyle, RefManageR, knitr, rmarkdown, testthat, minfi, tibble, sessioninfo License: MIT + file LICENSE MD5sum: 510edc757cddd6ca1b952e7230d5593d 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_15 git_last_commit: 5529856 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSE159526_1.2.0.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: 1.24.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown License: Artistic-2.0 MD5sum: 95048a6057c24cb1c97b90e18323e49e 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_15 git_last_commit: 436e90b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSE62944_1.24.0.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: 46 Package: GSVAdata Version: 1.32.0 Depends: R (>= 3.5), Biobase, GSEABase, hgu95a.db License: Artistic-2.0 MD5sum: e1c3f5ac701d35168f65ad9cbc073b46 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 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_15 git_last_commit: b4be326 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GSVAdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: singleCellTK, RVA suggestsMe: GSAR, GSVA dependencyCount: 52 Package: GWASdata Version: 1.34.0 Depends: GWASTools License: Artistic-2.0 MD5sum: dd72efc0a11db02f6b0c314218dec8bc 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 , Adrienne Stilp git_url: https://git.bioconductor.org/packages/GWASdata git_branch: RELEASE_3_15 git_last_commit: 8a90e4a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/GWASdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GENESIS, GWASTools dependencyCount: 77 Package: h5vcData Version: 2.16.0 Suggests: h5vc License: GPL (>= 3) MD5sum: 1288c24fc0b822cfbb3a4e9810dbabd0 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_15 git_last_commit: 515ff34 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/h5vcData_2.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: h5vc suggestsMe: HDF5Array dependencyCount: 0 Package: hapmap100khind Version: 1.38.0 Suggests: oligo License: GPL MD5sum: 58a53cb5c7b3e9f1660c56d5229fca9f 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_15 git_last_commit: 21adb96 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmap100khind_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap100kxba Version: 1.38.0 Suggests: oligo License: GPL MD5sum: 1538e207ead042d5b66669eead17577e 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_15 git_last_commit: 97f0621 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmap100kxba_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: hapmap500knsp Version: 1.38.0 Suggests: oligo License: GPL MD5sum: d9279cf90ea3d40ed61e850d7894a959 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_15 git_last_commit: dbcd574 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmap500knsp_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap500ksty Version: 1.38.0 Suggests: oligo License: GPL MD5sum: 5e4e3e86f60167bf3e3178d3bdc41b14 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_15 git_last_commit: 399ad55 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmap500ksty_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmapsnp5 Version: 1.38.0 Suggests: oligo License: GPL MD5sum: 106111367d853ee31030c3069266ba67 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_15 git_last_commit: 121157d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmapsnp5_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligoClasses dependencyCount: 0 Package: hapmapsnp6 Version: 1.38.0 Depends: R (>= 2.15) Suggests: oligo, oligoClasses License: GPL MD5sum: f4907cc17269892a56d4c790894d51e9 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_15 git_last_commit: 85dcc9b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hapmapsnp6_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: crlmm, oligoClasses dependencyCount: 0 Package: harbChIP Version: 1.34.0 Depends: R (>= 2.10.0), tools, utils, IRanges, Biobase (>= 2.5.5), Biostrings Imports: methods, stats License: Artistic-2.0 MD5sum: c8a46679a84e5353321500237923dcaf 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_15 git_last_commit: 9c15cf4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/harbChIP_1.34.0.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: 19 Package: HarmanData Version: 1.24.0 Depends: R (>= 3.5.0) Suggests: BiocGenerics, BiocStyle, knitr, rmarkdown, Harman (>= 1.23.3) License: GPL-3 MD5sum: 8f4950adba295fd2798946647fc5f5b3 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_15 git_last_commit: ac2f6cc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HarmanData_1.24.0.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: 1.18.0 Depends: R (>= 3.4.0) Imports: ExperimentHub Suggests: AnnotationHub, knitr, rmarkdown, igraph, survival, ANF, stats, testthat License: GPL-3 MD5sum: 892e493536aa3f6279b77d4a33fa66ae 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_15 git_last_commit: e1374a3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HarmonizedTCGAData_1.18.0.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: 87 Package: HCAData Version: 1.12.0 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: b7e425dbd527fa4f15985eecad3ad35b 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_15 git_last_commit: 023f4e3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HCAData_1.12.0.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: 100 Package: HD2013SGI Version: 1.36.0 Depends: R (>= 2.10.0), RColorBrewer, gplots, geneplotter, splots, limma, vcd, LSD,EBImage Suggests: BiocStyle License: Artistic-2.0 MD5sum: 50f594f18a063ca23f5ee221d014d488 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_15 git_last_commit: fa074d9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HD2013SGI_1.36.0.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: 75 Package: HDCytoData Version: 1.16.0 Depends: ExperimentHub, SummarizedExperiment, flowCore Imports: utils, methods Suggests: BiocStyle, knitr, rmarkdown, Rtsne, umap, ggplot2, FlowSOM, mclust License: MIT + file LICENSE MD5sum: 257964079c2214b1745d31baf3c780ca 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_15 git_last_commit: c3c60cb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HDCytoData_1.16.0.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: diffcyt dependencyCount: 102 Package: healthyControlsPresenceChecker Version: 1.0.0 Depends: R (>= 4.0.0) Imports: xml2, GEOquery, geneExpressionFromGEO, magrittr Suggests: RUnit, BiocGenerics, markdown, BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 476cc5c8a48dfa25c54dc4ada0aece27 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_15 git_last_commit: 13c062a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/healthyControlsPresenceChecker_1.0.0.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: 80 Package: healthyFlowData Version: 1.34.0 Depends: R (>= 2.15.0), flowCore Imports: methods License: Artistic-2.0 MD5sum: e0f0e7814bff18ac8ec82b775f576d30 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_15 git_last_commit: 9b8fcc5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/healthyFlowData_1.34.0.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: 18 Package: HEEBOdata Version: 1.34.0 License: LGPL MD5sum: 6adb5a8daf68c745a3905fd72b1337b1 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_15 git_last_commit: 39e6247 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HEEBOdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: HelloRangesData Version: 1.22.0 Suggests: BiocStyle License: GPL (>= 2) MD5sum: f36655e921a553710f0c13a6a2cdbccb 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_15 git_last_commit: 7ea3b96 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HelloRangesData_1.22.0.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: 1.34.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 7d692b928cae1d9c2790e3636991f4aa 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_15 git_last_commit: 951802c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hgu133abarcodevecs_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2barcodevecs Version: 1.34.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 7a20917c608e959d35950100323efb5f 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_15 git_last_commit: 348ece6 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hgu133plus2barcodevecs_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2CellScore Version: 1.16.0 Depends: R (>= 3.5.0) Imports: Biobase (>= 2.39.1) Suggests: knitr License: GPL-3 MD5sum: d7130b6a65e628d5c456c82993ab9973 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_15 git_last_commit: 6d9c102 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hgu133plus2CellScore_1.16.0.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: 1.36.0 Depends: R (>= 2.0.0) License: Artistic-2.0 MD5sum: 624b30b30c726108bd6d0a6453c4a150 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_15 git_last_commit: d2a1368 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/hgu2beta7_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HiCDataHumanIMR90 Version: 1.16.0 Depends: R (>= 3.5.0) Suggests: HiTC License: GPL-3 MD5sum: 21ca6f3dab9b412da71938a6a86d0c5a 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_15 git_last_commit: 852febf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HiCDataHumanIMR90_1.16.0.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: 1.32.0 Suggests: ShortRead License: GPL-3 MD5sum: b057c00d58eaab5c60313acda4ffd901 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_15 git_last_commit: fd314dd git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HiCDataLymphoblast_1.32.0.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: HighlyReplicatedRNASeq Version: 1.8.0 Depends: SummarizedExperiment, ExperimentHub Imports: S4Vectors Suggests: BiocStyle, BiocFileCache, knitr, rmarkdown License: MIT + file LICENSE MD5sum: d87636172cbee9527de8251056091509 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_15 git_last_commit: 7d01bd1 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HighlyReplicatedRNASeq_1.8.0.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: 95 Package: Hiiragi2013 Version: 1.32.0 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: 42207e4f404e82e5ef225b5418442756 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: RELEASE_3_15 git_last_commit: b234ec0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Hiiragi2013_1.32.0.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: 75 Package: HIVcDNAvantWout03 Version: 1.36.0 License: GPL (>= 2) MD5sum: 551d42a486d4b60333a93a79bb53a837 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_15 git_last_commit: 4998146 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HIVcDNAvantWout03_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HMP16SData Version: 1.16.0 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: e5639a7349c15e950a1c9c6b43c0643b 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_15 git_last_commit: 6aa4858 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HMP16SData_1.16.0.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: 129 Package: HMP2Data Version: 1.10.0 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: 8ebb32626578281e3e87689a4a60b31b 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_15 git_last_commit: 177b679 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HMP2Data_1.10.0.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: 160 Package: HSMMSingleCell Version: 1.16.0 Depends: R (>= 2.10) License: Artistic-2.0 MD5sum: a11f70e333bedc000cce6df9af88d7da 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_15 git_last_commit: dd22c4c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HSMMSingleCell_1.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: monocle suggestsMe: cellTree, ctgGEM dependencyCount: 0 Package: HumanAffyData Version: 1.22.0 Depends: ExperimentHub, Biobase, R (>= 3.3) Suggests: BiocStyle License: Artistic-2.0 MD5sum: aff4c80feb5e0a09abaeadd64b0ba3a7 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_15 git_last_commit: 4d37691 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/HumanAffyData_1.22.0.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: 87 Package: humanStemCell Version: 0.36.0 Depends: Biobase (>= 2.5.5), hgu133plus2.db License: Artistic-2.0 MD5sum: a108ff8d7b99852359883fd252e54e90 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_15 git_last_commit: 1a4b803 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/humanStemCell_0.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MiRaGE, rtracklayer dependencyCount: 47 Package: IHWpaper Version: 1.24.0 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: fcd3c5b76b61ec32a4cd78c9ea4660c8 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_15 git_last_commit: 5ebeb40 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/IHWpaper_1.24.0.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: 106 Package: Illumina450ProbeVariants.db Version: 1.32.0 Depends: R (>= 3.0.1) License: GPL-3 MD5sum: dc39c2c281f47612c64115fc739d1323 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_15 git_last_commit: a156022 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Illumina450ProbeVariants.db_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: IlluminaDataTestFiles Version: 1.34.0 License: Artistic-2.0 MD5sum: 5bb93b9ba6ccbfe243050093191dec8f 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_15 git_last_commit: 86f73ad git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/IlluminaDataTestFiles_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: illuminaio dependencyCount: 0 Package: imcdatasets Version: 1.4.1 Depends: R (>= 4.2), SingleCellExperiment, cytomapper, Imports: methods, utils, ExperimentHub, S4Vectors, DelayedArray, HDF5Array Suggests: BiocStyle, knitr, rmarkdown, markdown, testthat License: GPL-3 MD5sum: e63b2d971ad012c2a9179364c6d5a954 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: ExperimentHub, SingleCellData, TechnologyData, PackageTypeData, 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_15 git_last_commit: 9b0d63d git_last_commit_date: 2022-06-29 Date/Publication: 2022-06-30 source.ver: src/contrib/imcdatasets_1.4.1.tar.gz vignettes: vignettes/imcdatasets/inst/doc/imcdatasets.html vignetteTitles: "Accessing IMC datasets" hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/imcdatasets/inst/doc/imcdatasets.R dependencyCount: 144 Package: ITALICSData Version: 2.34.0 Depends: R (>= 2.0.0) License: GPL MD5sum: 2800dea9fd0d473b03039b8c461fa591 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_15 git_last_commit: 9368d1b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ITALICSData_2.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ITALICS dependencyCount: 0 Package: Iyer517 Version: 1.38.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: b474e21a166ce9da0fb2e5ed8c78ed3b 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_15 git_last_commit: 2f4709b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Iyer517_1.38.0.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: 1.32.0 Depends: R (>= 3.0.1), methods, Biostrings (>= 2.29.19) License: GPL-2 MD5sum: 769159325b0d280985d98b3bd17a5c7a 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_15 git_last_commit: 3b5dd14 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/JASPAR2014_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MatrixRider, TFBSTools dependencyCount: 18 Package: JASPAR2016 Version: 1.24.0 Depends: R (>= 3.2.2), methods License: GPL-2 MD5sum: d4b2e7ecdfae31d4cc697cceaa702ee2 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_15 git_last_commit: 7eb5e95 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/JASPAR2016_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: chromVAR, TFBSTools, CAGEWorkflow dependencyCount: 1 Package: KEGGandMetacoreDzPathwaysGEO Version: 1.16.0 Depends: R (>= 2.15.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: 70841280f5a21c5b13e75529cd9db614 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_15 git_last_commit: 0002276 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/KEGGandMetacoreDzPathwaysGEO_1.16.0.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: 1.34.0 Depends: R (>= 2.13.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: 59de6c370bebe615234a87745586f8dd 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_15 git_last_commit: 98a8a99 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/KEGGdzPathwaysGEO_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: PADOG importsMe: GSEABenchmarkeR dependencyCount: 6 Package: kidpack Version: 1.38.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5) License: GPL-2 MD5sum: 0702631656accf88df37a2fb613eea50 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_15 git_last_commit: 12dcb4c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/kidpack_1.38.0.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: 1.22.0 Depends: R (>= 3.3.0) License: MIT + file LICENSE MD5sum: 06d04af87a8acd9c2adab1367b707683 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_15 git_last_commit: 647fa9a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/KOdata_1.22.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: KEGGlincs dependencyCount: 0 Package: leeBamViews Version: 1.32.0 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: bd3fe6b240f0f5c9ec27ecb6e127738c 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_15 git_last_commit: 2d1cb86 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/leeBamViews_1.32.0.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: 46 Package: leukemiasEset Version: 1.32.0 Depends: R (>= 2.10.1), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: 6a0a544d1c176771d43c6a5e60c747a2 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_15 git_last_commit: 1f2cc89 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/leukemiasEset_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: geNetClassifier, mCSEA, multiclassPairs dependencyCount: 6 Package: LiebermanAidenHiC2009 Version: 0.34.0 Depends: KernSmooth, IRanges License: LGPL MD5sum: 069c77dcd5f4737da5ec38a9e49dfd65 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_15 git_last_commit: ba995b4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/LiebermanAidenHiC2009_0.34.0.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: 1.28.0 Depends: R (>= 3.1.1), methylPipe Suggests: BSgenome.Hsapiens.UCSC.hg18 License: Artistic 2.0 MD5sum: 6593252950b90d377d1beb63551d7ae9 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: Kamal Kishore Maintainer: Kamal Kishore git_url: https://git.bioconductor.org/packages/ListerEtAlBSseq git_branch: RELEASE_3_15 git_last_commit: 909e75a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ListerEtAlBSseq_1.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 153 Package: LRcellTypeMarkers Version: 1.4.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: LRcell, BiocStyle, knitr, rmarkdown, roxygen2, testthat License: MIT + file LICENSE MD5sum: d365b2f825b14f4c2debd630ea11c417 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_15 git_last_commit: 57cddc5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/LRcellTypeMarkers_1.4.0.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: 87 Package: lumiBarnes Version: 1.36.0 Depends: R (>= 2.0), Biobase (>= 2.5.5), lumi (>= 1.1.0) License: LGPL MD5sum: 81ae7f48ce83df95d2e6157998804f3d 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_15 git_last_commit: 9d7aad4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/lumiBarnes_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout, lumi dependencyCount: 163 Package: LungCancerACvsSCCGEO Version: 1.32.0 Depends: R (>= 2.15.0) License: GPL-2 MD5sum: 31393ca7ae8dcf51488ae4047f580582 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_15 git_last_commit: dd53694 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/LungCancerACvsSCCGEO_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: LungCancerLines Version: 0.34.0 Imports: Rsamtools License: Artistic-2.0 MD5sum: 77822e3f76476b800e9bdcd6be0a84a1 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: Cory Barr git_url: https://git.bioconductor.org/packages/LungCancerLines git_branch: RELEASE_3_15 git_last_commit: 408f74e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/LungCancerLines_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: gmapR, HTSeqGenie, VariantTools dependencyCount: 30 Package: lungExpression Version: 0.34.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: 01bd9d796fd877d3ed50674d72f265cd 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_15 git_last_commit: 1ef91d7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/lungExpression_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: globaltest dependencyCount: 6 Package: lydata Version: 1.22.0 License: MIT + file LICENSE MD5sum: 1c2de87ea5ee306b9387839b152d7c38 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_15 git_last_commit: 9f9af5e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/lydata_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: ccmap, crossmeta dependencyCount: 0 Package: M3DExampleData Version: 1.22.0 Depends: R (>= 3.3) License: GPL (>=2) MD5sum: ad914f11eb58396ec43b1b5e1038cf3d 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_15 git_last_commit: 42a87f7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/M3DExampleData_1.22.0.tar.gz hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: celda, M3Drop dependencyCount: 0 Package: macrophage Version: 1.12.0 Depends: R (>= 3.5.0) Suggests: knitr, markdown License: GPL (>= 2) MD5sum: e0ce01206e1d89aa6401be35958eb3ac 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_15 git_last_commit: 424eae9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/macrophage_1.12.0.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: fishpond, GeneTonic, quantiseqr, fluentGenomics dependencyCount: 0 Package: MACSdata Version: 1.4.0 License: file LICENSE MD5sum: e48a02fb165f827a373611abf37c8760 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_15 git_last_commit: 359d960 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MACSdata_1.4.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: MACSr dependencyCount: 0 Package: mammaPrintData Version: 1.32.0 Depends: R (>= 2.13.0) Suggests: Biobase, gdata, limma License: Artistic-2.0 MD5sum: cf6401e15e4cd4fa4b5c7cf562d8b4af 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_15 git_last_commit: d705e56 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mammaPrintData_1.32.0.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: mAPKLData Version: 1.28.0 Depends: R (>= 3.2.0) Suggests: Biobase License: Artistic-2.0 MD5sum: f22f6084f5250163d37ef0a49f5eb0db NeedsCompilation: no Title: Gene expression data for testing of the package mAPKL. Description: Gene expression data from a breast cancer study published by Turashvili et al. in 2007, provided as an eSet. biocViews: ExperimentData, ExpressionData, Cancer, Breast Author: Argiris Sakellariou Maintainer: Argiris Sakellariou git_url: https://git.bioconductor.org/packages/mAPKLData git_branch: RELEASE_3_15 git_last_commit: b72ac79 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mAPKLData_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: mAPKL dependencyCount: 0 Package: maqcExpression4plex Version: 1.40.0 Suggests: oligo, pdInfoBuilder License: GPL MD5sum: 8d6b441e4075a048a783e1afda3c5ca6 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_15 git_last_commit: 4722a23 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/maqcExpression4plex_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: MAQCsubset Version: 1.34.0 Depends: R (>= 2.10.0), affy (>= 1.23.4), Biobase (>= 2.5.5), lumi, methods Suggests: genefilter, codelink License: Artistic-2.0 MD5sum: ba60dbcec3642e08cbd4867f961aa6c8 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_15 git_last_commit: f519bb2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MAQCsubset_1.34.0.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: 163 Package: MAQCsubsetILM Version: 1.34.0 Depends: R (>= 2.10), Biobase (>= 2.5.5), lumi License: Artistic-2.0 MD5sum: cc3f2030786064bcf6cec3d9f371ee21 NeedsCompilation: no Title: MAQC data subset for the Illumina platform Description: MAQC data subset for the Illumina platform biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData Author: Laurent Gatto Maintainer: Laurent Gatto git_url: https://git.bioconductor.org/packages/MAQCsubsetILM git_branch: RELEASE_3_15 git_last_commit: c1665b8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MAQCsubsetILM_1.34.0.tar.gz vignettes: vignettes/MAQCsubsetILM/inst/doc/MAQCsubsetILM.pdf vignetteTitles: MAQCsubsetILM: MAQC data subset for the Illumina platform hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MAQCsubsetILM/inst/doc/MAQCsubsetILM.R dependencyCount: 163 Package: mCSEAdata Version: 1.16.0 Depends: R (>= 3.5) Suggests: BiocStyle, knitr, rmarkdown License: GPL-2 MD5sum: 8b98985f6be1bb1aa790ce31e7a378f7 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_15 git_last_commit: 539dc70 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mCSEAdata_1.16.0.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 dependsOnMe: mCSEA dependencyCount: 0 Package: mcsurvdata Version: 1.14.0 Depends: R (>= 3.5), ExperimentHub Imports: AnnotationHub, Biobase Suggests: knitr License: GPL (>=2) MD5sum: 9dc5a414a4f8726cc1d76e9c77bf1225 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_15 git_last_commit: 35ee96c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mcsurvdata_1.14.0.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: 87 Package: MEDIPSData Version: 1.32.0 Depends: R (>= 3.5.0) License: GPL (>= 2) MD5sum: 2d8bab5b29716fe36420c5324bc6a035 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_15 git_last_commit: d5ddb7f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MEDIPSData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MEDIPS, qsea dependencyCount: 0 Package: MEEBOdata Version: 1.34.0 License: LGPL MD5sum: 1308feff453fa31b997c3deea98d801b 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_15 git_last_commit: cb84b34 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MEEBOdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: MetaGxBreast Version: 1.16.0 Depends: R (>= 3.6.0), Biobase, AnnotationHub, ExperimentHub Imports: stats, lattice, impute, SummarizedExperiment Suggests: testthat, xtable, tinytex License: Apache License (>= 2) MD5sum: 5c336d02321fa957aae17c09dfdf2ad0 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_15 git_last_commit: 0b4ed3b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MetaGxBreast_1.16.0.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: 96 Package: MetaGxOvarian Version: 1.16.0 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: 79d000a49eea206eb8772864fcd55d73 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_15 git_last_commit: da17d34 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MetaGxOvarian_1.16.0.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: 96 Package: MetaGxPancreas Version: 1.16.0 Depends: SummarizedExperiment, ExperimentHub, R (>= 3.6.0) Imports: stats, impute, S4Vectors, AnnotationHub Suggests: testthat, knitr, BiocStyle, rmarkdown, markdown License: Artistic-2.0 MD5sum: 4c4fc406f31709562b35293bde124af6 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_15 git_last_commit: cc86cbb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MetaGxPancreas_1.16.0.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: 96 Package: metaMSdata Version: 1.32.0 License: GPL (>= 2) MD5sum: 0438b6b6e535980d49286b11717ad1e8 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_15 git_last_commit: 3fb5458 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/metaMSdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CluMSID, metaMS dependencyCount: 0 Package: MethylAidData Version: 1.28.0 Depends: MethylAid, R (>= 3.2) Suggests: BiocParallel, BiocStyle, knitr, minfiData, minfiDataEPIC License: GPL (>= 2) MD5sum: 106c21e0eb11926ac3d583241339fa72 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_15 git_last_commit: 413288f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MethylAidData_1.28.0.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: 168 Package: methylclockData Version: 1.4.0 Imports: ExperimentHubData, ExperimentHub, utils Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: c369e0045303a154172f3b31c6b459eb 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_15 git_last_commit: 30c6a06 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/methylclockData_1.4.0.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: 134 Package: MethylSeqData Version: 1.6.0 Depends: SummarizedExperiment Imports: ExperimentHub, HDF5Array, rhdf5, GenomeInfoDb, S4Vectors, GenomicRanges, stats, IRanges, utils Suggests: BiocFileCache, BiocStyle, data.table, knitr, rmarkdown License: CC0 MD5sum: 6e9fcab43a723b03557f657c07c57919 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_15 git_last_commit: aa0a781 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MethylSeqData_1.6.0.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: 99 Package: microbiomeDataSets Version: 1.4.0 Depends: R (>= 4.1), SummarizedExperiment, TreeSummarizedExperiment, MultiAssayExperiment Imports: methods, utils, BiocGenerics, ExperimentHub, Biostrings, ape Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, testthat License: CC0 MD5sum: 5250341ddccca4c936d11374f98ca935 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_15 git_last_commit: 0253c21 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/microbiomeDataSets_1.4.0.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, miaViz dependencyCount: 114 Package: microRNAome Version: 1.18.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocGenerics, RUnit License: GPL (>= 2) MD5sum: 435b3ed0c40c370b69374d5e0ec4ce7d 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_15 git_last_commit: d193a7b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/microRNAome_1.18.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 25 Package: MIGSAdata Version: 1.20.0 Depends: R (>= 3.4) Suggests: BiocGenerics License: GPL (>= 2) MD5sum: e477dfc758adf073960585174e9dd45d NeedsCompilation: no Title: MIGSA vignette data Description: MIGSA vignette data. The MIGSAdata package provides several data objects needed by MIGSA package to correctly generate its vignette, and follow it step by step. biocViews: ExperimentData, RepositoryData, ReproducibleResearch, CancerData, BreastCancerData, MicroarrayData Author: Juan C. Rodriguez, Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez Maintainer: Juan C. Rodriguez URL: http://www.bdmg.com.ar/ git_url: https://git.bioconductor.org/packages/MIGSAdata git_branch: RELEASE_3_15 git_last_commit: 3222aa4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MIGSAdata_1.20.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MIGSA dependencyCount: 0 Package: minfiData Version: 0.42.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylation450kmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19 License: Artistic-2.0 MD5sum: d57dfbe6bfe6314d1ba13b4001222c62 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_15 git_last_commit: 84e7672 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/minfiData_0.42.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: methylationArrayAnalysis suggestsMe: bigmelon, conumee, ENmix, funtooNorm, Harman, mCSEA, MEAL, MethylAid, minfi, missMethyl, MultiDataSet, shinyepico, shinyMethyl, skewr, MethylAidData dependencyCount: 144 Package: minfiDataEPIC Version: 1.22.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylationEPICanno.ilm10b2.hg19 License: Artistic-2.0 MD5sum: bd90f3de0de2d35fad23afd69f2f6808 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_15 git_last_commit: b1ccbfb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/minfiDataEPIC_1.22.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MethylAid, minfi, REMP, MethylAidData dependencyCount: 144 Package: minionSummaryData Version: 1.26.0 Depends: R (>= 3.2.0) Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 85dfa8ea8d88901540c33f4f95d6a870 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_15 git_last_commit: 788dd9f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/minionSummaryData_1.26.0.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: 1.26.0 Depends: R (>= 3.2), Imports: utils License: GPL-3 | file LICENSE MD5sum: 38e1d4b8ef046eafd15b78329bcacb1b 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_15 git_last_commit: 0107089 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/miRcompData_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: miRcomp dependencyCount: 1 Package: miRNATarget Version: 1.34.0 Depends: R (>= 2.10), Biobase License: GPL MD5sum: 36c367171ba591c71f6267eb599fbbc4 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_15 git_last_commit: 0f61f28 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/miRNATarget_1.34.0.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: MMAPPR2data Version: 1.10.0 Depends: R (>= 3.6.0) Imports: Rsamtools Suggests: knitr, rmarkdown, BiocStyle, roxygen2, seqinr, readr Enhances: MMAPPR2 License: GPL-3 MD5sum: 0ff83bdad6dac1a975206b2203df8356 NeedsCompilation: no Title: Sample Data for MMAPPR2 Description: Contains data for illustration purposes in the MMAPPR2 package, namely simulated BAM files containing RNA-Seq data for a mutation in the slc24a5 gene, taken from the GRCz11 genome. Also contains reference sequence and annotation files for the region. biocViews: RNASeqData, Danio_rerio_Data, SequencingData, Genome Author: Kyle Johnsen [aut], Jonathon Hill [cre] Maintainer: Jonathon Hill URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613585/, https://github.com/kjohnsen/MMAPPR2 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MMAPPR2data git_branch: RELEASE_3_15 git_last_commit: ee424d2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MMAPPR2data_1.10.0.tar.gz vignettes: vignettes/MMAPPR2data/inst/doc/MMAPPR2data.html vignetteTitles: Using MMAPPR2data Resources hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MMAPPR2data/inst/doc/MMAPPR2data.R suggestsMe: MMAPPR2 dependencyCount: 30 Package: MMDiffBamSubset Version: 1.32.0 Suggests: MMDiff2 License: LGPL MD5sum: 125b136e46ed4ab9f47b90259bb1b30c 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_15 git_last_commit: b317eba git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MMDiffBamSubset_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MMDiff2 dependencyCount: 0 Package: MOFAdata Version: 1.12.0 Depends: R (>= 3.5) Suggests: knitr, MultiAssayExperiment, rmarkdown License: LGPL-3 MD5sum: 9868d62cd3266eadcb2b6d8fabf80008 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_15 git_last_commit: 66a4f48 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MOFAdata_1.12.0.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 dependencyCount: 0 Package: mosaicsExample Version: 1.34.0 Depends: R (>= 2.11.1) License: GPL (>= 2) MD5sum: 8afcf6cd868597b954c44fdd65a458fe 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_15 git_last_commit: 2671157 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mosaicsExample_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: mosaics dependencyCount: 0 Package: mouse4302barcodevecs Version: 1.34.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: cf09d84fc830720ed535809222b143b2 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_15 git_last_commit: a18f324 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mouse4302barcodevecs_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: MouseGastrulationData Version: 1.10.0 Depends: R (>= 4.1), SingleCellExperiment, SummarizedExperiment, SpatialExperiment Imports: methods, ExperimentHub, BiocGenerics, S4Vectors, BumpyMatrix Suggests: BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: a38f86a6cffda2afe0fb8af0f9a0d74e 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_15 git_last_commit: c8689fa git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MouseGastrulationData_1.10.0.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 dependsOnMe: OSCA.multisample suggestsMe: miloR dependencyCount: 126 Package: MouseThymusAgeing Version: 1.4.0 Depends: SingleCellExperiment, SummarizedExperiment Imports: ExperimentHub, methods, BiocGenerics, S4Vectors Suggests: knitr, scuttle, rmarkdown, BiocStyle License: GPL-3 MD5sum: f50c34b4df4d3e363449eb455d2ff481 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_15 git_last_commit: 4c06672 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MouseThymusAgeing_1.4.0.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: 96 Package: msd16s Version: 1.16.0 Depends: R (>= 2.10), Biobase, metagenomeSeq, License: Artistic-2.0 MD5sum: d6a42929d01bba12558cb647e7e69914 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: RELEASE_3_15 git_last_commit: 29dad9a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/msd16s_1.16.0.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: metavizr, scTreeViz dependencyCount: 31 Package: msdata Version: 0.36.0 Depends: R (>= 3.5.0) Suggests: xcms, mzR, MSnbase License: GPL (>= 2) MD5sum: ba9fee6d31a1038d609fba4fab92629c 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_15 git_last_commit: 1b9e568 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/msdata_0.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: IPO, MetaboAnnotation, MobilityTransformR, MSnbase, msqrob2, mzR, peakPantheR, PSMatch, QFeatures, Spectra, TargetDecoy, xcms, RforProteomics dependencyCount: 0 Package: msigdb Version: 1.4.0 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: a19b6555db71eed9032536d91f355d4c 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_15 git_last_commit: 8fa2c0a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/msigdb_1.4.0.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: vissE dependencyCount: 93 Package: MSMB Version: 1.14.0 Depends: R (>= 2.10) Suggests: knitr, BiocStyle License: LGPL MD5sum: 9779bc1f522d96acfbc529c3ee419c49 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, ReproducibleResearch Author: Wolfgang Huber, Andrzej Oles, Mike Smith Maintainer: Wolfgang Huber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MSMB git_branch: RELEASE_3_15 git_last_commit: 74c7e05 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MSMB_1.14.0.tar.gz vignettes: vignettes/MSMB/inst/doc/MSMB.pdf vignetteTitles: Modern Statistics for Modern Biology hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MSMB/inst/doc/MSMB.R dependencyCount: 0 Package: msPurityData Version: 1.24.0 Suggests: knitr License: GPL (>= 2) MD5sum: d1fe66cbd0a6b547fbd02db4eea1afb1 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_15 git_last_commit: 7a77835 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/msPurityData_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: msPurity dependencyCount: 0 Package: msqc1 Version: 1.24.0 Depends: R (>= 3.6), lattice, stats, utils Suggests: BiocStyle, knitr, rmarkdown, testthat, specL (>= 1.2) License: GPL MD5sum: f9b52659dcca79bf550da647e8275e3d 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_15 git_last_commit: b78a5ca git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/msqc1_1.24.0.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: 1.26.0 Depends: R (>= 2.10) Suggests: xcms (>= 3.13.8), CAMERA, Risa (>= 1.0.0), knitr, Heatplus, pcaMethods, sp, rmarkdown License: CC0 MD5sum: dda75948535acf290131657d99786097 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_15 git_last_commit: 48c7c32 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mtbls2_1.26.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: IPO, yamss dependencyCount: 0 Package: MUGAExampleData Version: 1.16.0 Depends: R (>= 2.10.0) License: GPL-3 MD5sum: 8b6b1e73a786a293d7ca40795496cd31 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_15 git_last_commit: f7b4675 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/MUGAExampleData_1.16.0.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: muscData Version: 1.10.0 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: e1a6a2cf30fc5a16ba552b133e5fdd85 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_15 git_last_commit: 86e70d8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/muscData_1.10.0.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: glmGamPoi dependencyCount: 96 Package: mvoutData Version: 1.32.0 Depends: R (>= 2.10.0), methods, Biobase (>= 2.5.5), affy (>= 1.23.4), lumi License: Artistic-2.0 MD5sum: 403186c173e044431f9351bf4311511d 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_15 git_last_commit: f92d295 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/mvoutData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout dependencyCount: 163 Package: NanoporeRNASeq Version: 1.6.0 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: 3053992fdb80fc1ce825643f57ff24ab 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_15 git_last_commit: d769f52 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/NanoporeRNASeq_1.6.0.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: 87 Package: nanotubes Version: 1.12.0 Depends: R (>= 3.6) Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, rtracklayer, CAGEfightR License: GPL-3 MD5sum: c107f110690c6af81e864a93aa38d1d1 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_15 git_last_commit: 14664af git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/nanotubes_1.12.0.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: 1.32.0 Depends: R (>= 2.10.0) Suggests: Rgraphviz License: GPL-3 MD5sum: b3ceab86873b4b238b2a2fbd104ef969 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_15 git_last_commit: 4922a27 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/NCIgraphData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: NestLink Version: 1.12.0 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: f7fb989cd4f0b8b49ac1d38d66708543 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_15 git_last_commit: 3ec5ebe git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/NestLink_1.12.0.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: 121 Package: Neve2006 Version: 0.34.0 Depends: R (>= 2.14.0), tools, methods, utils, Biobase (>= 1.14.0), hgu133a.db, annotate License: Artistic-2.0 MD5sum: 7beb43fafdae9dbd7e947fb8e068f308 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_15 git_last_commit: 7f0035d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Neve2006_0.34.0.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: 1.16.0 License: GPL (>=2) MD5sum: 4eadd967d220bb495affa877033c6746 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_15 git_last_commit: 6d26a30 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/NGScopyData_1.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: nullrangesData Version: 1.2.0 Depends: R (>= 4.1.0), ExperimentHub, GenomicRanges, InteractionSet Imports: utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 7153221f4f918a818b483b1e927af04e 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_15 git_last_commit: 6033095 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/nullrangesData_1.2.0.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: nullranges dependencyCount: 96 Package: NxtIRFdata Version: 1.2.0 Imports: ExperimentHub, BiocFileCache, rtracklayer, R.utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown License: MIT + file LICENSE MD5sum: 6bc939ed2705e296111c4fd7d7f1dd4c NeedsCompilation: no Title: Data for NxtIRF Description: NxtIRFdata is a companion package for NxtIRF, which is an IRFinder- based R package for Intron Retention and Alternative Splicing quantitation 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 test NxtIRF. 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_15 git_last_commit: 3b82eec git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/NxtIRFdata_1.2.0.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: NxtIRFcore dependencyCount: 115 Package: ObMiTi Version: 1.4.0 Depends: R (>= 4.1), SummarizedExperiment, ExperimentHub Suggests: knitr, rmarkdown, BiocManager, GenomicFeatures, S4Vectors, devtools, testthat License: GPL-3 MD5sum: 5a482fd0ceb1991c161d434fcb0d4ae3 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_15 git_last_commit: e07b17c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ObMiTi_1.4.0.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: 95 Package: oct4 Version: 1.12.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: f6a1312041c67dbf8598978df4d1862c 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_15 git_last_commit: 95ed335 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/oct4_1.12.0.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: OMICsPCAdata Version: 1.14.0 Depends: R (>= 3.5.0), MultiAssayExperiment Suggests: knitr, kableExtra, rmarkdown License: GPL-3 MD5sum: 5032d38db86b7a4ab803b88a5a0ae8af 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_15 git_last_commit: f999c79 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/OMICsPCAdata_1.14.0.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: 46 Package: OnassisJavaLibs Version: 1.18.0 Depends: R (>= 3.4) Imports: rJava Suggests: BiocStyle, rmarkdown, knitr License: GPL-2 MD5sum: 0362a48435b50f3327442e21b76cfd25 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_15 git_last_commit: 669cb7b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/OnassisJavaLibs_1.18.0.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: 1.8.0 Depends: R (>= 4.0) Suggests: knitr, BiocStyle, rmarkdown, magick License: Artistic-2.0 MD5sum: 7d51a9201648a8f85a25cc3835b21ccc 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_15 git_last_commit: 46b9e00 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/optimalFlowData_1.8.0.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: parathyroidSE Version: 1.34.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: Rsamtools, GenomicAlignments, GEOquery, SRAdb, GenomicFeatures, BiocStyle License: LGPL MD5sum: 4ea70af52509fccfbdb8c1ec09563cc2 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: RELEASE_3_15 git_last_commit: 8af0b9c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/parathyroidSE_1.34.0.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: 25 Package: pasilla Version: 1.24.0 Depends: R (>= 3.5.0), DEXSeq Suggests: rmarkdown, BiocStyle, knitr License: LGPL MD5sum: b485928f51a97911352e52eda91ec378 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_15 git_last_commit: 216587c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pasilla_1.24.0.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, regionReport, ReportingTools, tidybulk, pasillaBamSubset dependencyCount: 115 Package: pasillaBamSubset Version: 0.34.0 Suggests: pasilla License: LGPL MD5sum: a2ae3ba919f4608f5e7d36ef9702f1ae 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_15 git_last_commit: b580bf0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pasillaBamSubset_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: APAlyzer, GenomicAlignments, GenomicFeatures, GenomicRanges, gmoviz, IRanges, karyoploteR, plyranges, TransView dependencyCount: 0 Package: PasillaTranscriptExpr Version: 1.24.0 Depends: R (>= 3.3.0) Suggests: rtracklayer, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: aeda3d9a2af5f1d0fcb41904b6f1c0ff 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_15 git_last_commit: 624e943 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PasillaTranscriptExpr_1.24.0.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: 1.32.0 Depends: R (>= 1.14.0) License: GPL-3 MD5sum: 2304765b36a8266e53f02ebbb6b7f2f0 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_15 git_last_commit: 950fe78 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PathNetData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PathNet dependencyCount: 0 Package: PCHiCdata Version: 1.24.0 Depends: R (>= 3.2), Chicago Suggests: testthat, BiocStyle, knitr License: Artistic-2.0 MD5sum: 98b8e1f5bb9dd21d98503fd2a5d21b60 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_15 git_last_commit: 1102d8d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PCHiCdata_1.24.0.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: 73 Package: pcxnData Version: 2.18.0 Depends: R (>= 3.4) Suggests: pcxn License: MIT + file LICENSE MD5sum: 0bb6d2f1b2838401fb2ed059c6724280 NeedsCompilation: no Title: Correlation coefficients and p values between pre-defined pathway/gene sets Description: PCxN database contains correlation coefficients and p values between pre-defined gene sets within MSigDB H hallmark gene sets, MSigDB C2 CP (Canonical pathways), MSigDB C5 GO BP gene sets and Pathprint respectively, as well as adjusted pathway correlations to account for the shared genes between pathway pairs. biocViews: ExperimentData, ExpressionData, MicroarrayData, GEO, Homo_sapiens_Data, OneChannelData, PathwayInteractionDatabase Author: Sokratis Kariotis, Yered Pita-Juarez, Wenbin Wei, Winston Hide Maintainer: Sokratis Kariotis git_url: https://git.bioconductor.org/packages/pcxnData git_branch: RELEASE_3_15 git_last_commit: 02af527 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pcxnData_2.18.0.tar.gz vignettes: vignettes/pcxnData/inst/doc/usingpcxnData.pdf vignetteTitles: pcxnData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/pcxnData/inst/doc/usingpcxnData.R dependsOnMe: pcxn dependencyCount: 0 Package: pd.atdschip.tiling Version: 0.34.0 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: b3ddea75e05e2e88d6f52811e0f13158 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_15 git_last_commit: 0208eab git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pd.atdschip.tiling_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 53 Package: pepDat Version: 1.16.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: knitr License: Artistic-2.0 MD5sum: 0c4b7912f8e643d9bc8514ccaf0851a6 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_15 git_last_commit: acfad1b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pepDat_1.16.0.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: pepStat, Pviz dependencyCount: 16 Package: PepsNMRData Version: 1.14.0 Depends: R (>= 3.5) Suggests: knitr, markdown, rmarkdown, BiocStyle License: GPL-2 | file LICENSE MD5sum: 0f252f13831e9dd0321066f21f5849d1 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_15 git_last_commit: 808fe67 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PepsNMRData_1.14.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: PepsNMR dependencyCount: 0 Package: PhyloProfileData Version: 1.10.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, Biostrings, BiocStyle Suggests: knitr, rmarkdown, markdown License: MIT + file LICENSE MD5sum: dabda3894c526e0782dec17a866d89a1 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_15 git_last_commit: c3c99dc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PhyloProfileData_1.10.0.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: 97 Package: plasFIA Version: 1.24.0 Depends: proFIA License: LGPL MD5sum: 4b6cc51509adb9a29419db938ed2342f NeedsCompilation: no Title: FIA-HRMS plasma dataset Description: Positive Ionization FIA-HRMS data of human plasma spiked with a pool of 40 compounds acquired in FIA-HRMS mode on an orbitrap fusion. plasFIA also include the result of the processing by the proFIA package with adapted parameters for an Orbitrap Fusion. biocViews: ExperimentData, MassSpectrometryData Author: Alexis Delabriere, Etienne Thevenot, Ulli Hohenester and Christophe Junot. Maintainer: Alexis Delabriere git_url: https://git.bioconductor.org/packages/plasFIA git_branch: RELEASE_3_15 git_last_commit: 57f65a0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/plasFIA_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: proFIA dependencyCount: 113 Package: plotgardenerData Version: 1.2.0 Depends: R (>= 4.1.0) Suggests: rmarkdown, knitr License: MIT + file LICENSE MD5sum: 67ff953da583145f22a9402dba01745f 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_15 git_last_commit: ca11003 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/plotgardenerData_1.2.0.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: ppiData Version: 0.34.0 Depends: graph Imports: AnnotationDbi Suggests: org.Sc.sgd.db, ppiStats, rmarkdown, knitr, BiocStyle License: Artistic-2.0 MD5sum: ab0b3d05350197313929ebe34562a6db NeedsCompilation: no Title: A package that contains the bait to prey directed graphs for protein-protein interactions Description: This package contains the directed graphs for protein interaction data as derived from Y2H and APMS. It also includes the code used to obtain the y2h data from IntAct Repository. biocViews: ExperimentData Author: Tony Chiang Maintainer: Bioconductor Package Maintainer VignetteBuilder: knitr PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/ppiData git_branch: RELEASE_3_15 git_last_commit: 3919e9c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ppiData_0.34.0.tar.gz vignettes: vignettes/ppiData/inst/doc/ppiData.html vignetteTitles: ppiData: Quick Start hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ppiData/inst/doc/ppiData.R suggestsMe: ppiStats dependencyCount: 46 Package: prebsdata Version: 1.32.0 Depends: R (>= 2.14.0) License: Artistic-2.0 MD5sum: 3a2de4d4f253da115b76d046b953657f 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_15 git_last_commit: d07e38a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prebsdata_1.32.0.tar.gz vignettes: vignettes/prebsdata/inst/doc/prebsdata.pdf vignetteTitles: prebsdata User Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: prebs, SigFuge dependencyCount: 0 Package: preciseTADhub Version: 1.4.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: knitr, rmarkdown, markdown, BiocStyle, preciseTAD License: MIT + file LICENSE MD5sum: dd661cb4f8e3ec2e41d32142263150a1 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_15 git_last_commit: 8200f19 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/preciseTADhub_1.4.0.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: 87 Package: PREDAsampledata Version: 0.36.0 Depends: R (>= 2.10.0), methods, PREDA, Biobase, affy, annotate Suggests: hgu133plus2.db, hgu133plus2cdf License: Artistic-2.0 MD5sum: 5322d99bca33df3b6b5bb224057d2dee 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_15 git_last_commit: ef13241 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PREDAsampledata_0.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PREDA dependencyCount: 62 Package: ProData Version: 1.34.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL MD5sum: 82f97f27a255655e7d62785a9921dd30 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_15 git_last_commit: a6298ab git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ProData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CorrectedFDR dependencyCount: 6 Package: pRolocdata Version: 1.34.0 Depends: R (>= 3.6.3), MSnbase Imports: Biobase, utils Suggests: pRoloc (>= 1.13.8), testthat, SummarizedExperiment License: GPL-2 MD5sum: 53dd00b2c4b9ee5722577e273a124070 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, Oliver M. Crook and Lisa M. Breckels 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_15 git_last_commit: 4973339 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pRolocdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: bandle suggestsMe: MSnbase, pRoloc, pRolocGUI, RforProteomics dependencyCount: 75 Package: prostateCancerCamcap Version: 1.24.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: b7e69bcaeab07a15b195993eee79da0f 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_15 git_last_commit: dc515d5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prostateCancerCamcap_1.24.0.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: 1.24.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: fbd0b6b267376d0587915acaf1316584 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_15 git_last_commit: 808de29 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prostateCancerGrasso_1.24.0.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: 1.24.0 Depends: Biobase , R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 0dcf22291d283228ca433082ae99f503 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_15 git_last_commit: 44cecf8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prostateCancerStockholm_1.24.0.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: 1.24.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery, org.Hs.eg.db License: Artistic-2.0 MD5sum: 22672596ed39c72215fcd46df6a12142 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_15 git_last_commit: af44a69 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prostateCancerTaylor_1.24.0.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: 1.24.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 2f73406c6bc7e17cd7ca2864c1567a8c 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_15 git_last_commit: ccdf855 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/prostateCancerVarambally_1.24.0.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: ptairData Version: 1.4.0 Imports: rhdf5, signal, stats, graphics Suggests: knitr, rmarkdown, testthat, BiocStyle License: GPL-3 MD5sum: 49bf41b06107c9c384f90aae1cd72882 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_15 git_last_commit: 6078c61 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ptairData_1.4.0.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: 1.22.0 Depends: R (>= 3.3), xcms, CAMERA, LOBSTAHS, methods, utils Suggests: gplots, RColorBrewer, cluster, vegan, clustsig License: MIT + file LICENSE MD5sum: 3e0be313ba69b208dca817496903ef2b 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_15 git_last_commit: 9e95d67 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PtH2O2lipids_1.22.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: LOBSTAHS dependencyCount: 128 Package: pumadata Version: 2.32.0 Depends: R (>= 3.2.0), Biobase (>= 2.5.5),puma, oligo(>= 1.32.0) License: LGPL MD5sum: 3f53fe925e33946adb07c133852c62ca 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_15 git_last_commit: 6ea45fc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pumadata_2.32.0.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: 56 Package: PWMEnrich.Dmelanogaster.background Version: 4.30.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: 717b8a38d0aea8a8ae728aec9cd5aa35 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_15 git_last_commit: 501c5b2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PWMEnrich.Dmelanogaster.background_4.30.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: PWMEnrich.Hsapiens.background Version: 4.30.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: bd77e02e02927da19d2834eda3187344 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_15 git_last_commit: 39a4bf7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PWMEnrich.Hsapiens.background_4.30.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: PWMEnrich.Mmusculus.background Version: 4.30.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: 6e9feffc37367cdc4d1a797ca60a8d95 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_15 git_last_commit: ded1d64 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/PWMEnrich.Mmusculus.background_4.30.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: pwrEWAS.data Version: 1.10.0 Imports: ExperimentHub Suggests: knitr, RUnit, BiocGenerics License: Artistic-2.0 MD5sum: 7df2555c93f22f1c0986b2e59f150877 NeedsCompilation: no Title: pwrEWAS.data: Reference data accompanying pwrEWAS Description: This package provides reference data required for pwrEWAS. pwrEWAS is a user-friendly tool to estimate power in EWAS as a function of sample and effect size for two-group comparisons of DNAm (e.g., case vs control, exposed vs non-exposed, etc.). biocViews: ExperimentHub, MethylationArrayData, MicroarrayData, TissueMicroarrayData, Tissue Author: Stefan Graw Maintainer: Stefan Graw VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/pwrEWAS.data git_branch: RELEASE_3_15 git_last_commit: 4843a9f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/pwrEWAS.data_1.10.0.tar.gz vignettes: vignettes/pwrEWAS.data/inst/doc/pwrEWAS.data.pdf vignetteTitles: pwrEWAS.data: Reference data accompanying pwrEWAS hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: pwrEWAS dependencyCount: 87 Package: QDNAseq.hg19 Version: 1.26.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 6fbe42e63f8123c91f4f5e31a7653e30 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_15 git_last_commit: ced808f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/QDNAseq.hg19_1.26.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biscuiteer, QDNAseq dependencyCount: 49 Package: QDNAseq.mm10 Version: 1.26.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 9275f3dba78029aa3840751997f090f8 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_15 git_last_commit: b33c571 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/QDNAseq.mm10_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biscuiteer, QDNAseq dependencyCount: 49 Package: qPLEXdata Version: 1.14.0 Depends: R (>= 3.5), qPLEXanalyzer Imports: utils, knitr, MSnbase, dplyr License: GPL-2 MD5sum: 327cba8158bff3bda6e57bcd40442222 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_15 git_last_commit: d9603dd git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/qPLEXdata_1.14.0.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: 109 Package: QUBICdata Version: 1.24.0 Depends: R (>= 3.1) Suggests: knitr, rmarkdown License: Unlimited | file LICENSE MD5sum: cfcb760e3ff0e63365e18b32dd597b21 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_15 git_last_commit: 893b655 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/QUBICdata_1.24.0.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: rcellminerData Version: 2.18.0 Depends: R (>= 3.5.0), Biobase Suggests: knitr, testthat, BiocStyle, rcellminer, rmarkdown License: LGPL-3 + file LICENSE MD5sum: b8a3f421f493ac4e7d5729ef7c79958e 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_15 git_last_commit: 3a24691 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/rcellminerData_2.18.0.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: 1.16.0 Depends: R (>= 3.3) Imports: data.table License: GPL-3 MD5sum: e643a9c0bd7c818e1a3d578cbc093865 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_15 git_last_commit: 293e56f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RcisTarget.hg19.motifDBs.cisbpOnly.500bp_1.16.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RcisTarget dependencyCount: 2 Package: ReactomeGSA.data Version: 1.10.0 Depends: R (>= 3.6), limma, edgeR, ReactomeGSA, Seurat License: Artistic-2.0 MD5sum: 30afe6e3571d9c3510effa5b3d03d0a6 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_15 git_last_commit: ed80216 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/ReactomeGSA.data_1.10.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ReactomeGSA dependencyCount: 153 Package: RegParallel Version: 1.14.0 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: 6ba383a68a6ad999ea04fc8c9f343541 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_15 git_last_commit: fa07384 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RegParallel_1.14.0.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: 61 Package: restfulSEData Version: 1.18.0 Depends: R (>= 3.4), SummarizedExperiment, ExperimentHub, DelayedArray (>= 0.21.2), HDF5Array (>= 1.23.2) Imports: utils, methods Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: aab6713d596cc7858dfdc41420645638 NeedsCompilation: no Title: Example metadata for the "restfulSE" R package Description: Metadata RangedSummarizedExperiment shell for use with restfulSE. biocViews: ExperimentData, Mus_musculus_Data, Homo_sapiens_Data, ExpressionData, SequencingData Author: Vincent Carey [aut], Shweta Gopaulakrishnan [cre, aut] Maintainer: Bioconductor Package Maintainer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/restfulSEData git_branch: RELEASE_3_15 git_last_commit: f772141 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/restfulSEData_1.18.0.tar.gz vignettes: vignettes/restfulSEData/inst/doc/restfulSEData.pdf vignetteTitles: restfulSEData -- SummarizedExperiment shells for remote assay data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/restfulSEData/inst/doc/restfulSEData.R suggestsMe: restfulSE dependencyCount: 99 Package: RforProteomics Version: 1.34.1 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, isobar, 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: 25401a559aab84e23eebf314fcac9696 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_15 git_last_commit: dbb4105 git_last_commit_date: 2022-09-01 Date/Publication: 2022-09-01 source.ver: src/contrib/RforProteomics_1.34.1.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: 85 Package: RGMQLlib Version: 1.16.0 Depends: R(>= 3.4.2) Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 6acdcc9cc482e00fad8bcc772c32f605 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_15 git_last_commit: 6989023 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RGMQLlib_1.16.0.tar.gz vignettes: vignettes/RGMQLlib/inst/doc/RGMQLlib.pdf vignetteTitles: RGMQLlib: scala Libraries to support GMQL hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: RGMQL dependencyCount: 0 Package: rheumaticConditionWOLLBOLD Version: 1.34.0 Depends: R (>= 2.10.0) Suggests: genefilter, Biobase, hgu133plus2.db License: Artistic-2.0 MD5sum: 044fcef90b2a7302f1b3ba6415e6ac06 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_15 git_last_commit: 04326c0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/rheumaticConditionWOLLBOLD_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RITANdata Version: 1.20.0 Depends: R (>= 3.4) License: file LICENSE MD5sum: 4a9a65c5312893ef3bf279efd32d53f8 NeedsCompilation: no Title: This package contains the annotation and network data sets Description: Data such as is contained in these two R data files in this package are required for the RITAN package examples. Users may use their own or additional resources in conjunction with RITANdata. See the RITAN vignettes for more information, such as gathering more up-to-date annotation data. biocViews: AnnotationData, Homo_sapiens Author: Michael Zimmermann Maintainer: Michael Zimmermann VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RITANdata git_branch: RELEASE_3_15 git_last_commit: 0370d9b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RITANdata_1.20.0.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: RLHub Version: 1.2.0 Imports: AnnotationHub, ExperimentHub, utils Suggests: knitr, DT, rmarkdown, testthat, BiocStyle License: MIT + file LICENSE MD5sum: 9a7e70b60ca564d63138e9aeea6e5996 NeedsCompilation: no Title: An ExperimentHub package for accessing processed RLSuite data sets Description: | RLHub provides a convenient interface to the processed data provided within RLSuite, a tool-chain for analyzing R-loop-mapping data sets. The primary purpose of RLHub is to serve the processed data sets required by the RLSeq R package and the RLBase web service. Additionally, RLHub provides a stand-alone R interface to these data, benefiting users who are addressing questions related to R-loop regions (RL-Regions), R-loop-binding proteins (RLBPs), R-loop co-localizing factors, and the differences between R-loop-mapping methods. The full data-generating protocol is found here: https://github.com/Bishop-Laboratory/RLBase-data. biocViews: ExperimentData, ExperimentHub, ExpressionData, ReproducibleResearch, SequencingData, Genome, ChIPSeqData, RNASeqData, GEO, PackageTypeData, DNASeqData, ENCODE Author: Henry Miller [aut, cre, cph] (), Alexander Bishop [ths, cph] () Maintainer: Henry Miller URL: https://github.com/Bishop-Laboratory/RLHub, https://bishop-laboratory.github.io/RLHub/ VignetteBuilder: knitr BugReports: https://github.com/Bishop-Laboratory/RLHub/issues git_url: https://git.bioconductor.org/packages/RLHub git_branch: RELEASE_3_15 git_last_commit: 4b08b12 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RLHub_1.2.0.tar.gz vignettes: vignettes/RLHub/inst/doc/RLHub.html vignetteTitles: Accessing RLHub Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/RLHub/inst/doc/RLHub.R importsMe: RLSeq dependencyCount: 87 Package: RMassBankData Version: 1.34.0 Suggests: RMassBank License: Artistic-2.0 MD5sum: f2c06aeaf245146d7ebf49317745091f 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_15 git_last_commit: c08488d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RMassBankData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RNAinteractMAPK Version: 1.34.0 Depends: R (>= 2.12.0), sparseLDA, RNAinteract Imports: grid, gdata, MASS, genefilter, methods, fields, utils, lattice, Biobase Suggests: qvalue License: Artistic-2.0 MD5sum: af0938dc65e12c9749da5c295a65d0a9 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: RELEASE_3_15 git_last_commit: afc3aba git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RNAinteractMAPK_1.34.0.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: 121 Package: RNAmodR.Data Version: 1.10.0 Depends: R (>= 3.6), ExperimentHub, ExperimentHubData (>= 1.9.2) Imports: utils Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, sessioninfo, testthat License: Artistic-2.0 MD5sum: e94c79e2f3cb79c8d08328f226e33c2e 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_15 git_last_commit: 54a9b22 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RNAmodR.Data_1.10.0.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, RNAmodR.AlkAnilineSeq, RNAmodR.ML, RNAmodR.RiboMethSeq dependencyCount: 134 Package: RNAseqData.HNRNPC.bam.chr14 Version: 0.34.0 Suggests: GenomicAlignments, BiocManager License: LGPL MD5sum: 9111c4c622566be9948f43ee212b95a0 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_15 git_last_commit: d13f09a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RNAseqData.HNRNPC.bam.chr14_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: sequencing suggestsMe: BiocParallel, GenomicAlignments, GenomicFiles, GenomicRanges, roar, Rsamtools, SplicingGraphs dependencyCount: 0 Package: RNASeqRData Version: 1.14.0 Depends: R (>= 3.5.0) Suggests: png, grid License: Artistic-2.0 MD5sum: b92db7c4d4cafe9cc4333a3944f02c65 NeedsCompilation: no Title: RNASeqRData: sample data for RNASeqR software package demonstration Description: RNASeqRData is a helper experiment package for vignette demonstration purpose in RNASeqR software package. biocViews: ExperimentData, Saccharomyces_cerevisiae_Data Author: Kuan-Hao Chao Maintainer: Kuan-Hao Chao git_url: https://git.bioconductor.org/packages/RNASeqRData git_branch: RELEASE_3_15 git_last_commit: bc30fc8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RNASeqRData_1.14.0.tar.gz vignettes: vignettes/RNASeqRData/inst/doc/RNASeqRData.html vignetteTitles: RNASeqRData.html hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RnaSeqSampleSizeData Version: 1.28.0 Depends: edgeR,R (>= 2.10) Suggests: BiocStyle, knitr License: GPL (>= 2) MD5sum: 67f915975f3effbf792f651038ade042 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_15 git_last_commit: 01f458e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RnaSeqSampleSizeData_1.28.0.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: 1.28.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 59621f01b8e06450ae03227d9fcfe106 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_15 git_last_commit: e361475 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RnBeads.hg19_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MAGAR suggestsMe: RnBeads dependencyCount: 16 Package: RnBeads.hg38 Version: 1.28.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 958ab2fdc0110593a3496116415f4d72 NeedsCompilation: no Title: RnBeads.hg38 Description: Automatically generated RnBeads annotation package for the assembly hg38. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.hg38 git_branch: RELEASE_3_15 git_last_commit: a067375 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RnBeads.hg38_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RnBeads.mm10 Version: 2.4.1 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 23825ba71a15890ad60e00a3e77409b9 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_15 git_last_commit: adca03d git_last_commit_date: 2022-06-22 Date/Publication: 2022-06-23 source.ver: src/contrib/RnBeads.mm10_2.4.1.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RnBeads.mm9 Version: 1.28.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 67d565848fddab3317bc918a57e3f7a8 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_15 git_last_commit: 1cae43c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RnBeads.mm9_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RnBeads dependencyCount: 16 Package: RnBeads.rn5 Version: 1.28.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: fe3610db0f0a7a6c0fda5e036eef5b98 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_15 git_last_commit: 32dab88 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RnBeads.rn5_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RRBSdata Version: 1.16.0 Depends: R (>= 3.5.0), BiSeq (>= 1.9.2) License: LGPL-3 MD5sum: b08c5b2ab44b6efa9f105cc8a69f0909 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_15 git_last_commit: ad40adb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RRBSdata_1.16.0.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: 87 Package: rRDPData Version: 1.16.0 Depends: rRDP License: GPL-2 MD5sum: 323a5305a3ab72b1fe300f0f383f2f0f NeedsCompilation: no Title: Database for the Default RDP Classifier Description: Database used by the default RDP Classifier biocViews: SequencingData, MicrobiomeData Author: Michael Hahsler, Anurag Nagar Maintainer: Michael Hahsler SystemRequirements: Java git_url: https://git.bioconductor.org/packages/rRDPData git_branch: RELEASE_3_15 git_last_commit: b9978b4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/rRDPData_1.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: rRDP dependencyCount: 19 Package: RTCGA.clinical Version: 20151101.26.0 Depends: R (>= 3.2.0), RTCGA Suggests: rmarkdown, knitr License: GPL-2 MD5sum: d32c64b8d6591da9ef322d3a01f017d4 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_15 git_last_commit: 4330aa2 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.clinical_20151101.26.0.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 dependencyCount: 126 Package: RTCGA.CNV Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 4f6ab1a9ced11e605a87c53d32d99a12 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_15 git_last_commit: a2a1d1d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.CNV_1.24.0.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: 126 Package: RTCGA.methylation Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: cc1a48beb9023caa990e45157fab8f37 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_15 git_last_commit: 23d4070 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.methylation_1.24.0.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: 126 Package: RTCGA.miRNASeq Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 54a12243589fa084e16177553299cfa1 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_15 git_last_commit: fcea51f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.miRNASeq_1.24.0.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: 126 Package: RTCGA.mRNA Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: ea9ae398057857baccad5d906a78332f 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_15 git_last_commit: f9eeb3d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.mRNA_1.24.0.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: CancerSubtypes, RTCGA dependencyCount: 126 Package: RTCGA.mutations Version: 20151101.26.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 892e2f446a04fca49bd09a4b06ee7a3a 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_15 git_last_commit: 33dd45a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.mutations_20151101.26.0.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: 126 Package: RTCGA.PANCAN12 Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 3fe4b0228e2753d7d517ef3fdaf64088 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_15 git_last_commit: 8123c86 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.PANCAN12_1.24.0.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, RTCGA dependencyCount: 126 Package: RTCGA.rnaseq Version: 20151101.26.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 64d76b105ee483721918a10c9e200c24 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_15 git_last_commit: 2d856bb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.rnaseq_20151101.26.0.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, FSelectorRcpp dependencyCount: 126 Package: RTCGA.RPPA Version: 1.24.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 7b0898320e7e93a933173e6417055848 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_15 git_last_commit: 7a7f01c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RTCGA.RPPA_1.24.0.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: 126 Package: RUVnormalizeData Version: 1.16.0 Depends: R (>= 2.10.0), Biobase License: GPL-3 MD5sum: 2b318d1fd03322fc4f7f1c4f81156914 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_15 git_last_commit: d1ef579 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/RUVnormalizeData_1.16.0.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: 1.20.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocStyle License: Artistic-2.0 MD5sum: 116800fdf407be68e89a48a8a2af6759 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_15 git_last_commit: 6ba17a8 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/sampleClassifierData_1.20.0.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: 25 Package: SBGNview.data Version: 1.10.0 Depends: R (>= 3.6) Imports: knitr, rmarkdown, bookdown Suggests: SummarizedExperiment License: AGPL-3 MD5sum: eed460aca9612d1c5cd7964df1fa94af 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_15 git_last_commit: 3558d2e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SBGNview.data_1.10.0.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: 31 Package: scanMiRData Version: 1.2.0 Depends: R (>= 4.0) Imports: scanMiR, utils Suggests: knitr, rmarkdown, BiocStyle License: GPL-3 MD5sum: a272636ed29535f4a7adcf1d5529d406 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 [aut] (), Michael Soutschek [aut], Fridolin Gross [cre, aut] Maintainer: Fridolin Gross VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scanMiRData git_branch: RELEASE_3_15 git_last_commit: 2012a8a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/scanMiRData_1.2.0.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: 64 Package: scATAC.Explorer Version: 1.2.1 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache, data.table, utils, S4Vectors Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: e6df0a15736dde0aee418e8efbf45ce6 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], 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_15 git_last_commit: e2803e4 git_last_commit_date: 2022-06-28 Date/Publication: 2022-06-28 source.ver: src/contrib/scATAC.Explorer_1.2.1.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: 66 Package: SCATEData Version: 1.6.0 Depends: R (>= 3.5.0), ExperimentHub, GenomicAlignments, GenomicRanges, base Imports: utils Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: a8f607da8d010eb96f4b1e7fcbfd0a6f NeedsCompilation: no Title: Data for SCATE (Single-cell ATAC-seq Signal Extraction and Enhancement) Description: SCATEData is an ExperimentHub package for SCATE which is a software tool for extracting and enhancing the sparse and discrete Single-cell ATAC-seq Signal. biocViews: ExperimentHub, ExperimentData Author: Zhicheng Ji [aut], Weiqiang Zhou [aut], Wenpin Hou [cre, aut] (), Hongkai Ji [aut] Maintainer: Wenpin Hou VignetteBuilder: knitr BugReports: https://github.com/Winnie09/SCATEData/issues git_url: https://git.bioconductor.org/packages/SCATEData git_branch: RELEASE_3_15 git_last_commit: f906eb9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SCATEData_1.6.0.tar.gz vignettes: vignettes/SCATEData/inst/doc/SCATEData_package.html vignetteTitles: 1. SCATEData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/SCATEData/inst/doc/SCATEData_package.R dependsOnMe: SCATE dependencyCount: 108 Package: SCLCBam Version: 1.28.0 Depends: R(>= 2.10) Suggests: BiocStyle License: GPL-2 MD5sum: 73e0b48f99a16092fed1483346e8cfd6 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_15 git_last_commit: 11c8745 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SCLCBam_1.28.0.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 suggestsMe: CopywriteR dependencyCount: 0 Package: scpdata Version: 1.4.0 Depends: R (>= 4.1), QFeatures, ExperimentHub Imports: utils, AnnotationHub, SingleCellExperiment, S4Vectors Suggests: scp, magrittr, dplyr, knitr, BiocStyle, BiocCheck, rmarkdown, testthat License: GPL-2 MD5sum: 8e3861b355dad000fb8c770b36eecf75 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 Author: Christophe Vanderaa [aut, cre] (), Laurent Gatto [aut] () Maintainer: Christophe Vanderaa VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scpdata git_branch: RELEASE_3_15 git_last_commit: c3dcf64 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/scpdata_1.4.0.tar.gz vignettes: vignettes/scpdata/inst/doc/scpdata.html vignetteTitles: Data Package for Single Cell Proteomics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scpdata/inst/doc/scpdata.R dependencyCount: 122 Package: scRNAseq Version: 2.10.0 Depends: SingleCellExperiment Imports: utils, methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub (>= 2.3.4), AnnotationHub (>= 3.3.6), AnnotationDbi, ensembldb, GenomicFeatures Suggests: BiocStyle, knitr, rmarkdown, BiocFileCache, testthat, rappdirs, tools License: CC0 MD5sum: 6c75d4fa6d24c816455cacaab5a2043a 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_15 git_last_commit: b870e6c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/scRNAseq_2.10.0.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.advanced, OSCA.basic, OSCA.intro, OSCA.workflows importsMe: singleCellTK suggestsMe: APL, batchelor, bluster, destiny, dittoSeq, Glimma, iSEE, iSEEu, miQC, mumosa, scAnnotatR, scater, scDblFinder, scFeatureFilter, scone, scran, scTreeViz, scuttle, SingleCellExperiment, SingleR, SummarizedBenchmark, UCell, velociraptor, zellkonverter, zinbwave, SingleRBook dependencyCount: 124 Package: scTHI.data Version: 1.8.0 Depends: R (>= 4.0) License: GPL-2 MD5sum: 6a122f41c0fbdf30525e93e79def396a 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_15 git_last_commit: 77c36c0 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/scTHI.data_1.8.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: scTHI dependencyCount: 0 Package: seq2pathway.data Version: 1.28.0 Depends: R (>= 3.6.2) License: GPL (>= 2) MD5sum: a00e35f2663291c5576e698b3909836c 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_15 git_last_commit: bea6972 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/seq2pathway.data_1.28.0.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: 1.30.0 Depends: R (>= 2.10) Imports: utils, Biobase License: GPL-3 MD5sum: 5ed86e4cbb9ca7d5968a73b305b5dd45 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_15 git_last_commit: 872cebf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/seqc_1.30.0.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: seqCNA.annot Version: 1.32.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: f743ddf4712e70845566fd12b5d40478 NeedsCompilation: no Title: Annotation for the copy number analysis of deep sequencing cancer data with seqCNA Description: Provides annotation on GC content, mappability and genomic features for various genomes biocViews: Genome, CopyNumberVariationData Author: David Mosen-Ansorena Maintainer: David Mosen-Ansorena git_url: https://git.bioconductor.org/packages/seqCNA.annot git_branch: RELEASE_3_15 git_last_commit: db47afb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/seqCNA.annot_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: seqCNA dependencyCount: 0 Package: serumStimulation Version: 1.32.0 Depends: R (>= 2.10) License: GPL (>= 2) MD5sum: d2823b3073c7ef325132499ca379fa1e 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_15 git_last_commit: 726e86a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/serumStimulation_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: sesameData Version: 1.14.0 Depends: R (>= 4.1), ExperimentHub, AnnotationHub Imports: utils, readr, stringr, GenomicRanges, S4Vectors, IRanges, GenomeInfoDb Suggests: BiocGenerics, sesame, testthat, knitr, rmarkdown License: Artistic-2.0 MD5sum: 3f4877391fe8b0aae15b6e2b07014dea 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 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/sesameData git_branch: RELEASE_3_15 git_last_commit: 4e4c0ce git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/sesameData_1.14.0.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: MethReg suggestsMe: ELMER dependencyCount: 98 Package: seventyGeneData Version: 1.32.0 Depends: R (>= 2.13.0) Suggests: Biobase, gdata, limma, breastCancerNKI License: Artistic-2.0 MD5sum: 84d2549e68456b4fbcfce58020163708 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 Maintainer: Luigi Marchionni URL: http://luigimarchionni.org/breastTSP.html git_url: https://git.bioconductor.org/packages/seventyGeneData git_branch: RELEASE_3_15 git_last_commit: 5af474d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/seventyGeneData_1.32.0.tar.gz vignettes: vignettes/seventyGeneData/inst/doc/seventyGeneData.pdf vignetteTitles: Working with the seventyGeneData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/seventyGeneData/inst/doc/seventyGeneData.R dependencyCount: 0 Package: shinyMethylData Version: 1.16.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: 4a188cde33107e6d214fcd6bec1eccbe 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_15 git_last_commit: e6eff5c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/shinyMethylData_1.16.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: shinyMethyl dependencyCount: 0 Package: signatureSearchData Version: 1.10.0 Depends: R (>= 3.6) Imports: ExperimentHub, utils, affy, limma, Biobase, magrittr, dplyr, R.utils, stats, rhdf5 Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: 973ba14be9e159b27065209f13e65a6b 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_15 git_last_commit: 0de5c5c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/signatureSearchData_1.10.0.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 suggestsMe: signatureSearch dependencyCount: 97 Package: SimBenchData Version: 1.4.0 Depends: ExperimentHub Imports: S4Vectors, utils Suggests: BiocStyle, knitr, rmarkdown, Seurat License: GPL-3 MD5sum: 5987a696dfb1eb4653f3cb02b0ac802f 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_15 git_last_commit: 79f73f4 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SimBenchData_1.4.0.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: 87 Package: simpIntLists Version: 1.32.0 License: GPL (>= 2) MD5sum: 958c337fa808c4821960edcb60fec074 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_15 git_last_commit: 8bd534b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/simpIntLists_1.32.0.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 suggestsMe: GeneNetworkBuilder dependencyCount: 0 Package: Single.mTEC.Transcriptomes Version: 1.24.0 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: 2194ec3bd1874a09f9e133fd6be9fe83 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_15 git_last_commit: f6796f1 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/Single.mTEC.Transcriptomes_1.24.0.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: 1.8.0 Depends: R (>= 4.1.0), MultiAssayExperiment Imports: AnnotationHub, BiocFileCache, BiocGenerics, ExperimentHub, HDF5Array, S4Vectors, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, Matrix, methods, utils Suggests: BiocStyle, ggplot2, knitr, RaggedExperiment, rmarkdown, scater, scran, UpSetR, uwot License: Artistic-2.0 MD5sum: 178f91367b4e7456796910ed9f4285b6 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. biocViews: ExperimentData, SingleCellData, ReproducibleResearch, ExperimentHub, GEO Author: Marcel Ramos [aut, cre] (), Ricard Argelaguet [aut], Dario Righelli [aut], Kelly Eckenrode [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_15 git_last_commit: f2e826a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SingleCellMultiModal_1.8.0.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 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 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 suggestsMe: MuData dependencyCount: 128 Package: SingleMoleculeFootprintingData Version: 1.4.0 Imports: ExperimentHub, utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: e9444d330290c5b4b65b43406156904a 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_15 git_last_commit: e10a904 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SingleMoleculeFootprintingData_1.4.0.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 suggestsMe: SingleMoleculeFootprinting dependencyCount: 87 Package: SNAData Version: 1.42.0 Depends: R (>= 2.4.0), graph Suggests: Rgraphviz License: LGPL MD5sum: b341579d81806592191ea5de50509ee0 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_15 git_last_commit: f452aac git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SNAData_1.42.0.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: 1.32.0 Depends: R (>= 2.6.0) Suggests: ALL, hgu95av2.db, SNAGEE License: Artistic-2.0 MD5sum: 76e1cb3e1d4d871c430cd3c26a82693d 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_15 git_last_commit: 9b3a9bc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SNAGEEdata_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: SNAGEE dependencyCount: 0 Package: SNPhoodData Version: 1.26.0 Depends: R (>= 3.2) Suggests: BiocStyle,knitr,rmarkdown License: LGPL (>= 3) MD5sum: fc7702c747dd6b874f379fcf696bfabf 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_15 git_last_commit: 60b11e7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SNPhoodData_1.26.0.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: 1.34.0 Depends: R (>= 2.14) License: Artistic-2.0 MD5sum: 7477c15736cfee3a1b9fb3d55782ab12 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_15 git_last_commit: e09d68f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SomatiCAData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: SomaticCancerAlterations Version: 1.32.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, IRanges, S4Vectors Suggests: testthat, ggbio, ggplot2, knitr License: GPL-3 MD5sum: 44a9dd4b4688e1b3c8e8bf2c832fb9c0 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_15 git_last_commit: 61519ef git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SomaticCancerAlterations_1.32.0.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: 16 Package: spatialDmelxsim Version: 1.2.0 Depends: R (>= 4.1), ExperimentHub, SummarizedExperiment Imports: utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 6f3fc5b9da2be1dcf3312ab2cf277c62 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_15 git_last_commit: 2bda699 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/spatialDmelxsim_1.2.0.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: 95 Package: spatialLIBD Version: 1.8.11 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 Suggests: knitr, RefManageR, rmarkdown, BiocStyle, testthat (>= 2.1.0), covr, here, BiocManager, lobstr License: Artistic-2.0 MD5sum: c141c9658fe95d2085f9e0f8725fc595 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] () Maintainer: Leonardo Collado-Torres URL: https://github.com/LieberInstitute/spatialLIBD VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/spatialLIBD git_url: https://git.bioconductor.org/packages/spatialLIBD git_branch: RELEASE_3_15 git_last_commit: aae8775 git_last_commit_date: 2022-09-02 Date/Publication: 2022-09-08 source.ver: src/contrib/spatialLIBD_1.8.11.tar.gz vignettes: vignettes/spatialLIBD/inst/doc/spatialLIBD.html, vignettes/spatialLIBD/inst/doc/TenX_data_download.html vignetteTitles: Introduction to spatialLIBD, Using spatialLIBD with 10x Genomics public datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/spatialLIBD/inst/doc/spatialLIBD.R, vignettes/spatialLIBD/inst/doc/TenX_data_download.R suggestsMe: BayesSpace dependencyCount: 209 Package: SpikeIn Version: 1.38.0 Depends: R (>= 1.6), affy (>= 1.23.4) License: Artistic-2.0 MD5sum: ca54a1ba3b6684bd2c92c2eb91e0401e NeedsCompilation: no Title: Affymetrix Spike-In Experiment Data Description: Contains the HGU133 and HGU95 spikein experiment data. biocViews: ExperimentData, MicroarrayData Author: Rafael Irizarry Maintainer: Rafael A. Irizarry git_url: https://git.bioconductor.org/packages/SpikeIn git_branch: RELEASE_3_15 git_last_commit: 0b74487 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SpikeIn_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PECA dependencyCount: 12 Package: SpikeInSubset Version: 1.36.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5), affy (>= 1.23.4) License: LGPL MD5sum: 5aacf3af3aa623748862bc7c47eff793 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: Rafael A. Irizarry git_url: https://git.bioconductor.org/packages/SpikeInSubset git_branch: RELEASE_3_15 git_last_commit: 827d613 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SpikeInSubset_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: logitT dependencyCount: 12 Package: spqnData Version: 1.8.0 Depends: R (>= 4.0), SummarizedExperiment License: Artistic-2.0 MD5sum: cd05649f589227f3c032c766349b9e3e 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_15 git_last_commit: c4e274a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/spqnData_1.8.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: spqn dependencyCount: 25 Package: stemHypoxia Version: 1.32.0 Depends: R (>= 2.14.1) License: GPL (>=2) MD5sum: 5556c928a7805a1158cba3caa1eee66d 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_15 git_last_commit: ef24b06 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/stemHypoxia_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: lmdme dependencyCount: 0 Package: STexampleData Version: 1.4.5 Depends: ExperimentHub, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown, BumpyMatrix License: MIT + file LICENSE MD5sum: 8dcca9cba2ea8d3c2137db2c16f350fc NeedsCompilation: no Title: Collection of spatially-resolved transcriptomics datasets in SpatialExperiment Bioconductor format Description: Collection of spatially-resolved transcriptomics (SRT) datasets in SpatialExperiment Bioconductor format, for use in examples, demonstrations, and tutorials. The datasets are from several different SRT platforms and have been sourced from various publicly available sources. Several datasets include images and/or ground truth annotation labels. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, ExpressionData, SingleCellData, SpatialData, Homo_sapiens_Data, Mus_musculus_Data Author: Lukas M. Weber [aut, cre] () 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_15 git_last_commit: 322af03 git_last_commit_date: 2022-05-15 Date/Publication: 2022-05-17 source.ver: src/contrib/STexampleData_1.4.5.tar.gz vignettes: vignettes/STexampleData/inst/doc/STexampleData_overview.html vignetteTitles: STexampleData package overview hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/STexampleData/inst/doc/STexampleData_overview.R suggestsMe: ggspavis, nnSVG dependencyCount: 125 Package: stjudem Version: 1.36.0 Depends: R (>= 2.10), utils License: LGPL (>= 2) MD5sum: e026aa2e370bc8f7863ff44fef0bebbb NeedsCompilation: no Title: Microarray Data from Yeoh et al. in MACAT format Description: This is a microarray data set on acute lymphoblastic leukemia, published in 2002 (Yeoh et al.Cancer Cell 2002). The experiments were conducted in the St.Jude Children's Research Hospital, Memphis, Tenessee, USA. The raw data was preprocessed by variance stabilizing normalization (Huber et al.) on probe and subsequent summarization of probe expression values into probe set expression values using median polish. biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData, ChipOnChipData Author: Benjamin Georgi, Matthias Heinig, Sebastian Schmeier, Joern Toedling Maintainer: Joern Toedling git_url: https://git.bioconductor.org/packages/stjudem git_branch: RELEASE_3_15 git_last_commit: 3eb7883 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/stjudem_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: macat dependencyCount: 1 Package: SVM2CRMdata Version: 1.28.0 Depends: R(>= 3.2.0) License: LGPL (>= 2) MD5sum: 5e5847820d237436c9daee8ad855bc88 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_15 git_last_commit: d7a622b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/SVM2CRMdata_1.28.0.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: 1.34.0 Depends: R (>= 2.10), synapter (>= 1.99.2) Imports: utils License: GPL-2 MD5sum: 1dbc99a5856000d689d9d9fbcf34e37b 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_15 git_last_commit: 6e04bfe git_last_commit_date: 2022-04-26 Date/Publication: 2022-09-29 source.ver: src/contrib/synapterdata_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: synapter dependencyCount: 121 Package: systemPipeRdata Version: 2.0.1 Imports: methods, Biostrings, BiocGenerics, jsonlite, remotes Suggests: GenomicFeatures, GenomicRanges, IRanges, Rsamtools, ShortRead, rtracklayer, RUnit, BiocStyle, knitr, rmarkdown, systemPipeR License: Artistic-2.0 MD5sum: d8ac9f6b7a9a18cbaf5b26e6f5c0facd NeedsCompilation: no Title: systemPipeRdata: Workflow templates and sample data Description: systemPipeRdata is a helper package to generate with a single command NGS workflow templates that are intended to be used by its parent package systemPipeR. The latter is an environment for building end-to-end analysis pipelines with automated report generation for next generation sequence (NGS) applications such as RNA-Seq, RIBO-Seq, ChIP-Seq, VAR-Seq and many others. Detailed examples for using systemPipeRdata are given in systemPipeR's overview vignette. 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_15 git_last_commit: 66644e7 git_last_commit_date: 2022-04-28 Date/Publication: 2022-04-28 source.ver: src/contrib/systemPipeRdata_2.0.1.tar.gz vignettes: 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: 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/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: 20 Package: TabulaMurisData Version: 1.14.0 Depends: R (>= 3.5) Imports: ExperimentHub, utils Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, scran, scater, iSEE, testthat License: MIT + file LICENSE MD5sum: dbb70b03d1e9eafdd8fa6fc598cbea49 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_15 git_last_commit: 7cc3a9e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TabulaMurisData_1.14.0.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: 87 Package: TabulaMurisSenisData Version: 1.2.0 Imports: ExperimentHub, SingleCellExperiment, HDF5Array, SummarizedExperiment, gdata, AnnotationHub Suggests: ggplot2, testthat, knitr, rmarkdown, iSEE, BiocStyle License: MIT + file LICENSE MD5sum: f1b627eb87144f6bbfe5d5b63104e297 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_15 git_last_commit: 71d4d65 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TabulaMurisSenisData_1.2.0.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: 102 Package: TargetScoreData Version: 1.32.0 Suggests: TargetScore, gplots License: GPL-2 MD5sum: 34d62b9d14987946395be79d63d10c33 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_15 git_last_commit: 342104d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TargetScoreData_1.32.0.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: 1.34.0 License: GPL (>= 2) MD5sum: 4e84e4303147d919f8962cd4d4b56034 NeedsCompilation: no Title: Example GC-MS data for TargetSearch Package Description: This package provides example GC-MS data for TargetSearch Package. biocViews: ExperimentData, Escherichia_coli_Data Author: Alvaro Cuadros-Inostroza, Henning Redestig, Matt Hannah Maintainer: Alvaro Cuadros-Inostroza git_url: https://git.bioconductor.org/packages/TargetSearchData git_branch: RELEASE_3_15 git_last_commit: e6471c3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TargetSearchData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: TargetSearch dependencyCount: 0 Package: tartare Version: 1.10.0 Depends: R (>= 4.1), AnnotationHub (>= 2.16), ExperimentHub (>= 1.0) Imports: utils Suggests: BiocStyle, knitr, rmarkdown, testthat, tools License: GPL-3 MD5sum: e534b278834b2c357889659cee8da00c 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_15 git_last_commit: abfe8d5 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tartare_1.10.0.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, rawrr dependencyCount: 87 Package: TBX20BamSubset Version: 1.32.0 Depends: Rsamtools (>= 1.9.8) Imports: xtable License: LGPL MD5sum: 2c687199642b7e83cb274eebc0327945 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_15 git_last_commit: c1a851c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TBX20BamSubset_1.32.0.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 dependencyCount: 31 Package: TCGAbiolinksGUI.data Version: 1.16.0 Depends: R (>= 3.5.0) Suggests: BiocStyle, knitr, rmarkdown, readr, DT License: GPL-3 MD5sum: 37f776493cc6152a96da67a24d3d3c75 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_15 git_last_commit: 9cce746 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TCGAbiolinksGUI.data_1.16.0.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 dependsOnMe: TCGAbiolinksGUI importsMe: TCGAbiolinks dependencyCount: 0 Package: TCGAcrcmiRNA Version: 1.16.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: db79c67b6d1c1023d9eaf3439a08a1ef 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_15 git_last_commit: ba37c7d git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TCGAcrcmiRNA_1.16.0.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: 1.16.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: de9b7d47c8f7927c599623afad07a748 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_15 git_last_commit: ee05352 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TCGAcrcmRNA_1.16.0.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: 1.32.0 License: GPL-2 MD5sum: 3ff3f96f2b07096ed342732d93a0c451 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_15 git_last_commit: d891ec9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TCGAMethylation450k_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: methylumi dependencyCount: 0 Package: TCGAWorkflowData Version: 1.20.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment Suggests: knitr, rmarkdown, pander, testthat License: GPL-3 MD5sum: 28f35d70f76b9ea9bbfcebe9c6d106fc 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_15 git_last_commit: 1c57363 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TCGAWorkflowData_1.20.0.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: 25 Package: TENxBrainData Version: 1.16.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub (>= 2.9.22), ExperimentHub Suggests: knitr, BiocStyle, snow, BiocFileCache, BiocParallel, data.table, rmarkdown License: CC BY 4.0 MD5sum: af635cae3d1d84c30135db110c0a96f4 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_15 git_last_commit: 20788fb git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TENxBrainData_1.16.0.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 dependsOnMe: OSCA.advanced suggestsMe: HDF5Array dependencyCount: 100 Package: TENxBUSData Version: 1.10.0 Imports: ExperimentHub, AnnotationHub, utils, BiocGenerics Suggests: knitr, rmarkdown, BiocStyle License: BSD_2_clause + file LICENSE MD5sum: 419f20189381da01988a93cb74a9cd3f 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_15 git_last_commit: 115d41c git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TENxBUSData_1.10.0.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: 87 Package: TENxPBMCData Version: 1.14.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub, ExperimentHub Suggests: rmarkdown, knitr, BiocStyle, snow, BiocFileCache, BiocParallel License: CC BY 4.0 MD5sum: 31edac7a4a36eeb6270554996baaf0de 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_15 git_last_commit: e4b8854 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TENxPBMCData_1.14.0.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: OSCA.multisample importsMe: singleCellTK suggestsMe: ASURAT, celda, ExperimentSubset, fcoex, glmGamPoi, iSEE, mbkmeans, schex, scone, scry, transformGamPoi, SingleRBook dependencyCount: 100 Package: TENxVisiumData Version: 1.4.0 Depends: ExperimentHub, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 3c4eda58c7c457f89efd5cbef4fe8cae 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_15 git_last_commit: b0520ce git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TENxVisiumData_1.4.0.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: 125 Package: timecoursedata Version: 1.6.0 Depends: R (>= 4.0), SummarizedExperiment Suggests: testthat (>= 1.0.0), knitr, rmarkdown, markdown, covr, BiocStyle License: BSD 3-clause License + file LICENSE MD5sum: 7e40a7c8e10ec81a3ca380cdc3fcf9e6 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_15 git_last_commit: a72d38b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/timecoursedata_1.6.0.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: 25 Package: TimerQuant Version: 1.26.0 Depends: shiny Imports: ggplot2, grid, gridExtra, deSolve, dplyr, locfit Suggests: BiocStyle, reshape2, knitr, shinyBS License: Artistic-2.0 MD5sum: 4ee815a413b9c8f4ccc89b3a4c6f6bcb 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_15 git_last_commit: b753dee git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/TimerQuant_1.26.0.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: 66 Package: tinesath1cdf Version: 1.34.0 License: Artistic-2.0 MD5sum: b15397924d71b13d517474ed3a4a6f62 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_15 git_last_commit: d55a459 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tinesath1cdf_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: XhybCasneuf dependencyCount: 0 Package: tinesath1probe Version: 1.34.0 Depends: R (>= 1.6), AnnotationDbi (>= 1.11.9) License: LGPL MD5sum: 36f0f940b1aefd716766796ab70c1efb 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_15 git_last_commit: 8a239a7 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tinesath1probe_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 45 Package: tissueTreg Version: 1.16.0 Depends: R (>= 3.5) Suggests: BiocStyle, knitr, rmarkdown, testthat, ExperimentHub, bsseq, SummarizedExperiment License: GPL (>= 2) MD5sum: b27dd1ebde793a3af413b7ae8de310b7 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_15 git_last_commit: ba633c9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tissueTreg_1.16.0.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: 1.6.2 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 493053ddb703bb4cd79e871f641d4e00 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_15 git_last_commit: 90ae0db git_last_commit_date: 2022-06-01 Date/Publication: 2022-06-02 source.ver: src/contrib/TMExplorer_1.6.2.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: 65 Package: tofsimsData Version: 1.24.0 Depends: R (>= 3.2.0) Suggests: knitr, rmarkdown, tools License: GPL-3 MD5sum: e7fad1145c222bd59921be7578f9b663 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_15 git_last_commit: 3dcd629 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tofsimsData_1.24.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: topdownrdata Version: 1.18.0 Depends: topdownr License: GPL (>= 3) MD5sum: 1e833fddea0a3fbca93853c8ee721cc1 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_15 git_last_commit: 0b52dbf git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/topdownrdata_1.18.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: topdownr dependencyCount: 84 Package: tuberculosis Version: 1.2.0 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: cf8f254d301922f49ded91013d8161a7 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_15 git_last_commit: 438d449 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tuberculosis_1.2.0.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: 99 Package: tweeDEseqCountData Version: 1.34.0 Depends: Biobase, R (>= 2.10) License: GPL (>=2) MD5sum: f896e5a5c24a3159ae9b0ae3c7ec6175 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: Juan R Gonzalez and Mikel Esnaola (with contributions from Robert Castelo ) Maintainer: Juan R Gonzalez URL: http://www.creal.cat/jrgonzalez/software.htm git_url: https://git.bioconductor.org/packages/tweeDEseqCountData git_branch: RELEASE_3_15 git_last_commit: 479ca9b git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tweeDEseqCountData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSAR, missMethyl, tweeDEseq dependencyCount: 6 Package: tximportData Version: 1.24.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: be3bbd64fcb7fd029a5e4ec07cdaf00e 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_15 git_last_commit: 646f366 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/tximportData_1.24.0.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 suggestsMe: DESeq2, fishpond, HumanTranscriptomeCompendium, tximeta, tximport, variancePartition dependencyCount: 0 Package: VariantToolsData Version: 1.20.0 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: a452f6bc81ef0857e8930196921a2276 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_15 git_last_commit: 465eba9 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/VariantToolsData_1.20.0.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: 99 Package: VectraPolarisData Version: 1.0.0 Depends: ExperimentHub, SpatialExperiment, utils Suggests: BiocStyle, knitr, rmarkdown, dplyr License: Artistic-2.0 MD5sum: 8dd8f6a08eb4aff66c45ac821d76980b 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_15 git_last_commit: 69db34d git_last_commit_date: 2022-04-27 Date/Publication: 2022-04-28 source.ver: src/contrib/VectraPolarisData_1.0.0.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: 125 Package: vulcandata Version: 1.18.0 Imports: utils License: LGPL-3 MD5sum: 15956c69a3c6a94d861cdd0448284fa3 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_15 git_last_commit: cc691cc git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/vulcandata_1.18.0.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: WES.1KG.WUGSC Version: 1.28.0 License: GPL-2 MD5sum: cb63bf2609029b06159ea6e3e6391c66 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_15 git_last_commit: d0d622f git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/WES.1KG.WUGSC_1.28.0.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: 1.8.0 Depends: R (>= 3.6.0), GenomicRanges License: GPL-2 MD5sum: a77013184bbaba459c804011cf2d7e6d 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_15 git_last_commit: 4456ba1 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/WGSmapp_1.8.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SCOPE dependencyCount: 16 Package: xcoredata Version: 1.0.0 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: d526e88d24eacfe507d0e94688d242e1 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_15 git_last_commit: 2d0c0c3 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/xcoredata_1.0.0.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: 87 Package: XhybCasneuf Version: 1.34.0 Depends: R (>= 2.4.0), affy , ath1121501cdf , tinesath1cdf , RColorBrewer , methods, grid License: Artistic-2.0 MD5sum: 98ceb784dc66a6c4a5cbee43f7cec57c 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_15 git_last_commit: c9b5c73 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/XhybCasneuf_1.34.0.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: 1.36.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: 57661b217e6715d1768ff9c57905bb39 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_15 git_last_commit: ff80d2a git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/yeastCC_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: LiquidAssociation suggestsMe: fastLiquidAssociation, ibh dependencyCount: 6 Package: yeastExpData Version: 0.42.0 Depends: R (>= 2.4), graph (>= 1.9.26) Suggests: Biobase, GO.db, RBGL, org.Sc.sgd.db License: GPL MD5sum: 0aa8cbb17d884ac2d6034f77904b026b 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_15 git_last_commit: 74a1c67 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/yeastExpData_0.42.0.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, ppiStats dependencyCount: 7 Package: yeastGSData Version: 0.34.0 License: Artistic-2.0 MD5sum: 370379e51d36ebaeb618ff4e4b6eece3 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_15 git_last_commit: b6c22ac git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/yeastGSData_0.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: yeastNagalakshmi Version: 1.32.0 License: Artistic-2.0 MD5sum: 3f213326af4042456d41be81290a8d88 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_15 git_last_commit: 1e08e65 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/yeastNagalakshmi_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ShortRead dependencyCount: 0 Package: yeastRNASeq Version: 0.34.0 Depends: R (>= 2.4) Suggests: Biobase, ShortRead, IRanges License: GPL MD5sum: e4711e8606dc9207e64f1bb785c235f0 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_15 git_last_commit: 766dc1e git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/yeastRNASeq_0.34.0.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: 1.16.0 Depends: R (>= 2.10) Suggests: BiocStyle, knitr License: GPL MD5sum: 30c71b92491d01a828dda33f4e16c258 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_15 git_last_commit: 1a6d634 git_last_commit_date: 2022-04-26 Date/Publication: 2022-04-28 source.ver: src/contrib/zebrafishRNASeq_1.16.0.tar.gz vignettes: vignettes/zebrafishRNASeq/inst/doc/preprocessing.pdf 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: MSstatsBioData Version: 1.18.0 Depends: R (>= 3.4) Suggests: BiocStyle, knitr, MSstats License: Artistic-2.0 NeedsCompilation: no Title: Datasets of published biological studies with DDA or SRM experiments Description: Provides the peak intensity data for detecting differentially abundant proteins in seven published biological investigations. biocViews: ExperimentData, MassSpectrometryData, Proteome Author: Meena Choi Maintainer: Meena Choi VignetteBuilder: knitr PackageStatus: Deprecated