Back to Workflows build report for BioC 3.7 |
This page was generated on 2018-10-15 12:45:17 -0400 (Mon, 15 Oct 2018).
Package 20/21 | Hostname | OS / Arch | INSTALL | BUILD | ||||||
TCGAWorkflow 1.2.5 Tiago Chedraoui Silva
| malbec2 | Linux (Ubuntu 16.04.1 LTS) / x86_64 | OK | [ ERROR ] | ||||||
tokay2 | Windows Server 2012 R2 Standard / x64 | OK | ERROR |
Package: TCGAWorkflow |
Version: 1.2.5 |
Command: /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data TCGAWorkflow |
StartedAt: 2018-10-15 08:09:50 -0400 (Mon, 15 Oct 2018) |
EndedAt: 2018-10-15 08:21:07 -0400 (Mon, 15 Oct 2018) |
EllapsedTime: 676.5 seconds |
RetCode: 1 |
Status: ERROR |
PackageFile: None |
PackageFileSize: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data TCGAWorkflow ### ############################################################################## ############################################################################## * checking for file ‘TCGAWorkflow/DESCRIPTION’ ... OK * preparing ‘TCGAWorkflow’: * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR Loading required package: GenomicRanges Loading required package: stats4 Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:base': expand.grid Loading required package: IRanges Loading required package: GenomeInfoDb Loading required package: DelayedArray Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Loading required package: BiocParallel Attaching package: 'DelayedArray' The following objects are masked from 'package:matrixStats': colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges The following objects are masked from 'package:base': aperm, apply -------------------------------------- o GDCquery: Searching in GDC database -------------------------------------- Genome of reference: hg38 -------------------------------------------- oo Accessing GDC. This might take a while... -------------------------------------------- ooo Project: TCGA-GBM -------------------- oo Filtering results -------------------- ooo By file.type ooo By barcode ---------------- oo Checking data ---------------- ooo Check if there are duplicated cases ooo Check if there results for the query ------------------- o Preparing output ------------------- Downloading data for project TCGA-GBM GDCdownload will download 2 files. A total of 60.483 KB Downloading as: Mon_Oct_15_08_12_29_2018.tar.gz To get the following information please change the clinical.info argument => new_tumor_events: new_tumor_event => drugs: drug => follow_ups: follow_up => radiations: radiation Parsing follow up version: follow_up_v1.0 gbm subtype information from:doi:10.1016/j.cell.2015.12.028 Starting GBM trying URL 'ftp://ftp.broadinstitute.org/pub/GISTIC2.0/hg19_support/CNV.hg19.bypos.111213.txt' Content type 'unknown' length 358469 bytes (350 KB) ================================================== Parsed with column specification: cols( ID = col_character(), Chromosome = col_integer(), Start = col_integer(), End = col_integer(), Flankingstart = col_integer(), Flankingend = col_integer() ) Loading Marker Informations ........................ Done Loading Copy Number Data ................................................ Done Performing Data Preprocessing Done Computing Discontinuity Matrix . Done Computing Probability Distribution .... Done Assessing the Significance of Observed Data .. Done Writing GAIA_GBM_flt.txt.igv.gistic File for Integrative Genomics Viewer (IGV) Tool .. Done Running Homogeneous peel-off Algorithm With Significance Threshold of 0.25 and Homogenous Threshold of 0.12 .. Done Writing Output File 'GAIA_GBM_flt.txt' Containing the Significant Regions File 'GAIA_GBM_flt.txt' Saved silent variants: 38433 Summarizing.. Gene Summary.. NOTE: Possible FLAGS among top ten genes: Checking clinical data.. Annotation missing for below samples in MAF Done ! gbm subtype information from:doi:10.1016/j.cell.2015.12.028 lgg subtype information from:doi:10.1016/j.cell.2015.12.028 Looking for clinical data in annoatation slot of MAF.. Number of mutated samples for given genes: Median survival.. ======================================== circlize version 0.4.4 CRAN page: https://cran.r-project.org/package=circlize Github page: https://github.com/jokergoo/circlize Documentation: http://jokergoo.github.io/circlize_book/book/ If you use it in published research, please cite: Gu, Z. circlize implements and enhances circular visualization in R. Bioinformatics 2014. ======================================== Note: 2 points are out of plotting region in sector 'chr17', track '4'. Note: 2 points are out of plotting region in sector 'chr17', track '4'. Note: 2 points are out of plotting region in sector 'chr17', track '5'. Note: 2 points are out of plotting region in sector 'chr17', track '5'. Note: 1 point is out of plotting region in sector 'chr17', track '5'. Note: 1 point is out of plotting region in sector 'chr17', track '5'. I Need about 11 seconds for this Complete Normalization Upper Quantile [Processing 80k elements /s] Step 1 of 4: newSeqExpressionSet ... Step 2 of 4: withinLaneNormalization ... Step 3 of 4: betweenLaneNormalization ... Step 4 of 4: .quantileNormalization ... Batch correction skipped since no factors provided ----------------------- DEA ------------------------------- there are Cond1 type LGG in 20 samples there are Cond2 type GBM in 20 samples there are 14477 features as miRNA or genes I Need about 19 seconds for this DEA. [Processing 30k elements /s] ----------------------- END DEA ------------------------------- clusterProfiler v3.8.1 For help: https://guangchuangyu.github.io/software/clusterProfiler If you use clusterProfiler in published research, please cite: Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287. Attaching package: 'clusterProfiler' The following object is masked from 'package:DelayedArray': simplify Loading required package: org.Hs.eg.db Loading required package: AnnotationDbi 'select()' returned 1:many mapping between keys and columns Warning in bitr(dataDEGsFiltLevel$mRNA, fromType = "SYMBOL", toType = "ENTREZID", : 9.98% of input gene IDs are fail to map... Info: Downloading xml files for hsa05214, 1/1 pathways.. Info: Downloading png files for hsa05214, 1/1 pathways.. 'select()' returned 1:1 mapping between keys and columns Info: Working in directory /tmp/RtmpQvEaBj/Rbuild55ca5b4999cd/TCGAWorkflow/vignettes Info: Writing image file hsa05214.pathview.png Info: some node width is different from others, and hence adjusted! Loading required package: igraph Attaching package: 'igraph' The following object is masked from 'package:clusterProfiler': simplify The following object is masked from 'package:circlize': degree The following objects are masked from 'package:DelayedArray': path, simplify The following object is masked from 'package:GenomicRanges': union The following object is masked from 'package:IRanges': union The following object is masked from 'package:S4Vectors': union The following objects are masked from 'package:BiocGenerics': normalize, path, union The following objects are masked from 'package:stats': decompose, spectrum The following object is masked from 'package:base': union ==================== DATA Summary ==================== ==================== END DATA Summary ==================== ==================== T test results ==================== ==================== END T test results ==================== Group1:TCGA-GBM Group2:TCGA-LGG Calculating the diference between the mean methylation of the groups... Calculating the p-values of each probe... Loading required package: grid ======================================== ComplexHeatmap version 1.18.1 Bioconductor page: http://bioconductor.org/packages/ComplexHeatmap/ Github page: https://github.com/jokergoo/ComplexHeatmap Documentation: http://bioconductor.org/packages/ComplexHeatmap/ If you use it in published research, please cite: Gu, Z. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 2016. ======================================== Loading required package: Biostrings Loading required package: XVector Attaching package: 'Biostrings' The following object is masked from 'package:DelayedArray': type The following object is masked from 'package:base': strsplit Loading required package: BSgenome Loading required package: rtracklayer Attaching package: 'rtracklayer' The following object is masked from 'package:igraph': blocks Loading required package: seqLogo Loading required package: grImport Loading required package: XML Loading required package: MotIV Attaching package: 'MotIV' The following object is masked from 'package:rGADEM': readPWMfile The following object is masked from 'package:seqLogo': makePWM The following object is masked from 'package:igraph': similarity The following object is masked from 'package:stats': filter Loading required package: ade4 Attaching package: 'ade4' The following object is masked from 'package:BSgenome': score The following object is masked from 'package:rtracklayer': score The following object is masked from 'package:Biostrings': score The following object is masked from 'package:GenomicRanges': score The following object is masked from 'package:IRanges': score The following object is masked from 'package:BiocGenerics': score Quitting from lines 1818-1832 (TCGAWorkflow.Rmd) Error: processing vignette 'TCGAWorkflow.Rmd' failed with diagnostics: incorrect number of dimensions Execution halted