R-chipseq-1.18.0-3-rosa2016.1.x86_64.rpm


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Description

R-chipseq - chipseq: A package for analyzing chipseq data

Property Value
Distribution ROSA 2016.1
Repository ROSA Contrib x86_64
Package name R-chipseq
Package version 1.18.0
Package release 3-rosa2016.1
Package architecture x86_64
Package type rpm
Installed size 2.48 MB
Download size 2.16 MB
Official Mirror mirror.rosalab.ru
Tools for helping process short read data for chipseq experiments

Alternatives

Package Version Architecture Repository
R-chipseq-1.18.0-3-rosa2016.1.i586.rpm 1.18.0 i586 ROSA Contrib
R-chipseq - - -

Requires

Name Value
R-BSgenome -
R-BiocGenerics -
R-GenomicFeatures -
R-GenomicRanges -
R-IRanges -
R-S4Vectors -
R-ShortRead -
R-TxDb.Mmusculus.UCSC.mm9.knownGene -
R-lattice -
R-methods -
R-stats -
libR.so()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -

Provides

Name Value
R-chipseq == 1.18.0-3:2016.1
chipseq.so()(64bit) -

Download

Type URL
Binary Package R-chipseq-1.18.0-3-rosa2016.1.x86_64.rpm
Source Package R-chipseq-1.18.0-3.src.rpm

Install Howto

  1. Enable ROSA Contrib repository on Install and Remove Software"
  2. Update packages list:
    # urpmi.update -a
  3. Install R-chipseq rpm package:
    # urpmi R-chipseq

Files

Path
/usr/lib64/R/library/chipseq/DESCRIPTION
/usr/lib64/R/library/chipseq/INDEX
/usr/lib64/R/library/chipseq/NAMESPACE
/usr/lib64/R/library/chipseq/Meta/Rd.rds
/usr/lib64/R/library/chipseq/Meta/data.rds
/usr/lib64/R/library/chipseq/Meta/hsearch.rds
/usr/lib64/R/library/chipseq/Meta/links.rds
/usr/lib64/R/library/chipseq/Meta/nsInfo.rds
/usr/lib64/R/library/chipseq/Meta/package.rds
/usr/lib64/R/library/chipseq/Meta/vignette.rds
/usr/lib64/R/library/chipseq/R/chipseq
/usr/lib64/R/library/chipseq/R/chipseq.rdb
/usr/lib64/R/library/chipseq/R/chipseq.rdx
/usr/lib64/R/library/chipseq/Scripts/AntibodyComparison.Rnw
/usr/lib64/R/library/chipseq/Scripts/CTCFBindingSites.R
/usr/lib64/R/library/chipseq/Scripts/CTCF_ERV.R
/usr/lib64/R/library/chipseq/Scripts/CopyNumber.Rnw
/usr/lib64/R/library/chipseq/Scripts/Islands.Rnw
/usr/lib64/R/library/chipseq/Scripts/MyoD.R
/usr/lib64/R/library/chipseq/Scripts/PairedEndComparison.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeakContextHuman.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeakContextMouse.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeakCutoff.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeakModel.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeakReproducibility.Rnw
/usr/lib64/R/library/chipseq/Scripts/PeaksByCopyNumber.Rnw
/usr/lib64/R/library/chipseq/Scripts/RateComparison.Rnw
/usr/lib64/R/library/chipseq/Scripts/ReadAndSave54.R
/usr/lib64/R/library/chipseq/Scripts/ReadAndSaveCTCF.R
/usr/lib64/R/library/chipseq/Scripts/ReadAndSaveData.R
/usr/lib64/R/library/chipseq/Scripts/ReadAndSaveSimulation.R
/usr/lib64/R/library/chipseq/Scripts/SolexaSim.R
/usr/lib64/R/library/chipseq/Scripts/abc.rda
/usr/lib64/R/library/chipseq/Scripts/antibody_comparison.R
/usr/lib64/R/library/chipseq/Scripts/dePeaks.R
/usr/lib64/R/library/chipseq/Scripts/diffpeak.R
/usr/lib64/R/library/chipseq/Scripts/diffpeaks.R
/usr/lib64/R/library/chipseq/Scripts/estimate_fragment_size.R
/usr/lib64/R/library/chipseq/Scripts/fibroblasts.R
/usr/lib64/R/library/chipseq/Scripts/figs
/usr/lib64/R/library/chipseq/Scripts/getIsochores.R
/usr/lib64/R/library/chipseq/Scripts/hmm.R
/usr/lib64/R/library/chipseq/Scripts/human-islands.R
/usr/lib64/R/library/chipseq/Scripts/isochore_comparison.R
/usr/lib64/R/library/chipseq/Scripts/isochores.mm9.rda
/usr/lib64/R/library/chipseq/Scripts/negbinomial.R
/usr/lib64/R/library/chipseq/Scripts/peakContext.R
/usr/lib64/R/library/chipseq/Scripts/peak_mle.R
/usr/lib64/R/library/chipseq/Scripts/poisson.R
/usr/lib64/R/library/chipseq/Scripts/simulate.R
/usr/lib64/R/library/chipseq/Scripts/singletons.Rnw
/usr/lib64/R/library/chipseq/Scripts/solexa54.R
/usr/lib64/R/library/chipseq/data/cstest.rda
/usr/lib64/R/library/chipseq/data/datalist
/usr/lib64/R/library/chipseq/doc/Workflow.R
/usr/lib64/R/library/chipseq/doc/Workflow.Rnw
/usr/lib64/R/library/chipseq/doc/Workflow.pdf
/usr/lib64/R/library/chipseq/doc/index.html
/usr/lib64/R/library/chipseq/help/AnIndex
/usr/lib64/R/library/chipseq/help/aliases.rds
/usr/lib64/R/library/chipseq/help/chipseq.rdb
/usr/lib64/R/library/chipseq/help/chipseq.rdx
/usr/lib64/R/library/chipseq/help/paths.rds
/usr/lib64/R/library/chipseq/html/00Index.html
/usr/lib64/R/library/chipseq/html/R.css
/usr/lib64/R/library/chipseq/html/chipseqFilter.html
/usr/lib64/R/library/chipseq/html/coverageplot.html
/usr/lib64/R/library/chipseq/html/cstest.html
/usr/lib64/R/library/chipseq/html/diffPeakSummary.html
/usr/lib64/R/library/chipseq/html/estimate.mean.fraglen.html
/usr/lib64/R/library/chipseq/html/islandDepthPlot.html
/usr/lib64/R/library/chipseq/html/laneSubsample.html
/usr/lib64/R/library/chipseq/html/peakCutoff.html
/usr/lib64/R/library/chipseq/html/peakSummary-methods.html
/usr/lib64/R/library/chipseq/html/subsetSummary.html
/usr/lib64/R/library/chipseq/libs/chipseq.so

Changelog

2017-03-02 - Andrey Bondrov <andrey.bondrov@rosalab.ru> 1.18.0-3
- (dddd1ca) MassBuild#1273: Increase release tag

See Also

Package Description
R-chron-2.3.45-4-rosa2016.1.x86_64.rpm Chronological objects which can handle dates and times
R-circular-0.4.7-3-rosa2016.1.x86_64.rpm Circular Statistics
R-clue-0.3.48-4-rosa2016.1.x86_64.rpm Cluster ensembles
R-clv-0.3.2.1-3-rosa2016.1.x86_64.rpm Cluster Validation Techniques
R-cmprsk-2.2.7-4-rosa2016.1.x86_64.rpm Subdistribution Analysis of Competing Risks
R-coda-0.19.1-1-rosa2016.1.noarch.rpm Output analysis and diagnostics for MCMC
R-coin-1.0.24-4-rosa2016.1.x86_64.rpm Conditional Inference Procedures in a Permutation Test Framework
R-colorspace-1.2.4-5-rosa2016.1.x86_64.rpm Color Space Manipulation
R-combinat-0.0_8-5-rosa2016.1.noarch.rpm combinatorics utilities
R-corpcor-1.6.7-4-rosa2016.1.noarch.rpm Efficient Estimation of Covariance and (Partial) Correlation
R-corrgram-1.10-1-rosa2016.1.noarch.rpm Plot a correlogram
R-corrplot-0.73-5-rosa2016.1.noarch.rpm Visualization of a correlation matrix
R-coxme-2.2.3-5-rosa2016.1.x86_64.rpm Mixed Effects Cox Models
R-cran-leaps-2.9-5-rosa2016.1.x86_64.rpm Regression subset for R
R-crayon-1.3.2-3-rosa2016.1.noarch.rpm Colored Terminal Output
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