BiocParallel
DOI:
10.18129/B9.bioc.BiocParallel
This package is for version 3.10 of Bioconductor;
for the stable, up-to-date release version, see
BiocParallel.
Bioconductor facilities for parallel evaluation
Bioconductor version: 3.10
This package provides modified versions and novel implementation of functions for parallel evaluation, tailored to use with Bioconductor objects.
Author: Bioconductor Package Maintainer [cre], Martin Morgan [aut], Valerie Obenchain [aut], Michel Lang [aut], Ryan Thompson [aut], Nitesh Turaga [aut]
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("BiocParallel")
):
Installation
To install this package, start R (version
"3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BiocParallel")
For older versions of R, please refer to the appropriate
Bioconductor release.
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("BiocParallel")
Details
biocViews |
Infrastructure, Software |
Version |
1.20.1 |
In Bioconductor since |
BioC 2.13 (R-3.0) (6.5 years) |
License |
GPL-2 | GPL-3 |
Depends |
methods |
Imports |
stats, utils, futile.logger, parallel, snow |
LinkingTo |
BH |
Suggests |
BiocGenerics, tools, foreach, BatchJobs, BBmisc, doParallel, Rmpi, GenomicRanges, RNAseqData.HNRNPC.bam.chr14, TxDb.Hsapiens.UCSC.hg19.knownGene, VariantAnnotation, Rsamtools, GenomicAlignments, ShortRead, codetools, RUnit, BiocStyle, knitr, batchtools, data.table |
SystemRequirements |
C++11 |
Enhances |
|
URL |
https://github.com/Bioconductor/BiocParallel |
BugReports |
https://github.com/Bioconductor/BiocParallel/issues |
Depends On Me |
bacon, BEclear, Cardinal, ClassifyR, clusterSeq, consensusSeekeR, CopywriteR, cydar, deco, DelayedArray, DEWSeq, DEXSeq, DMCFB, DMCHMM, doppelgangR, GenomicFiles, hiReadsProcessor, INSPEcT, matter, MBASED, metagene, metagene2, ncGTW, Oscope, OUTRIDER, PCAN, pRoloc, Rqc, sequencing, ShortRead, SigCheck, STROMA4, SummarizedBenchmark, sva, xcms |
Imports Me |
abseqR, AffiXcan, ALDEx2, AlphaBeta, ALPS, amplican, ASICS, ASpediaFI, atSNP, BANDITS, batchelor, bayNorm, BiocNeighbors, BioCor, BiocSingular, BioMM, BioNetStat, biotmle, brendaDb, bsseq, CAGEfightR, CAGEr, CAMTHC, cellbaseR, CellBench, CellMixS, ChIPexoQual, ChIPQC, chromswitch, chromVAR, CNVRanger, CoGAPS, consensusDE, contiBAIT, coseq, cpvSNP, CRISPRseek, CrispRVariants, csaw, dcGSA, debCAM, DEComplexDisease, DelayedMatrixStats, derfinder, DEScan2, DESeq2, DEsingle, DiffBind, dmrseq, DOSE, DRIMSeq, DropletUtils, easyRNASeq, EMDomics, erma, ERSSA, fgsea, FindMyFriends, flowcatchR, flowSpecs, GDCRNATools, GenoGAM, GenomicAlignments, genotypeeval, gmapR, gscreend, GSEABenchmarkeR, GUIDEseq, h5vc, HiCBricks, HiCcompare, HTSeqGenie, HTSFilter, iasva, icetea, ideal, IHWpaper, IMAS, ImpulseDE2, InPAS, IntEREst, IONiseR, IPO, IVAS, JunctionSeq, KinSwingR, LineagePulse, loci2path, LowMACA, MACPET, MCbiclust, metabomxtr, MethCP, MethylAid, methylGSA, methylInheritance, methyvim, MetNet, MIGSA, minfi, MMAPPR2, motifbreakR, MPRAnalyze, MSnbase, MSstatsSampleSize, multiHiCcompare, muscat, NBAMSeq, NBSplice, OmicsLonDA, ORFik, OVESEG, PAIRADISE, Pbase, PCAtools, PowerExplorer, pram, PrecisionTrialDrawer, proFIA, profileplyr, qpgraph, qsea, QuasR, Rcwl, recount, REMP, RJMCMCNucleosomes, RNAmodR, Rsamtools, RUVcorr, scater, scDblFinder, scDD, scde, scMerge, SCnorm, scone, scoreInvHap, scPCA, scran, scRecover, scruff, sesame, sigFeature, signatureSearch, SingleR, singscore, SNPhood, soGGi, SpectralTAD, splatter, SplicingGraphs, srnadiff, TarSeqQC, TFBSTools, TMixClust, tradeSeq, trena, Trendy, TSRchitect, TVTB, TxRegInfra, variancePartition, VariantFiltering, VariantTools, waddR, zinbwave |
Suggests Me |
CAGEWorkflow, chimera, curatedMetagenomicData, HDF5Array, MethylAidData, netSmooth, omicsPrint, PureCN, RcisTarget, scGPS, SeqArray, systemPipeR, TENxBrainData, TENxPBMCData, TFutils, tofsims, universalmotif |
Links To Me |
|
Build Report |
|
Package Archives
Follow
Installation instructions to use this
package in your R session.