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CSAR

This is thedevelopment version of CSAR; for the stable release version, seeCSAR.

Statistical tools for the analysis of ChIP-seq data

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DOI: 10.18129/B9.bioc.CSAR


Bioconductor version: Development (3.23)

Statistical tools for ChIP-seq data analysis. The package includes the statistical method described in Kaufmann et al. (2009) PLoS Biology: 7(4):e1000090. Briefly, Taking the average DNA fragment size subjected to sequencing into account, the software calculates genomic single-nucleotide read-enrichment values. After normalization, sample and control are compared using a test based on the Poisson distribution. Test statistic thresholds to control the false discovery rate are obtained through random permutation.

Author: Jose M Muino

Maintainer: Jose M Muino <jose.muino at live.com>

Citation (from within R, entercitation("CSAR")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("CSAR")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CSAR")
CSAR VignettePDFR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsChIPSeq,Genetics,Software,Transcription
Version1.63.0
In Bioconductor sinceBioC 2.6 (R-2.11) (15.5 years)
LicenseArtistic-2.0
DependsR (>= 2.15.0),S4Vectors,IRanges,Seqinfo,GenomicRanges
Importsstats, utils
System Requirements
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SuggestsShortRead,Biostrings
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageCSAR_1.63.0.tar.gz
Windows Binary (x86_64) CSAR_1.63.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)CSAR_1.63.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CSAR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CSAR
Bioc Package Browserhttps://code.bioconductor.org/browse/CSAR/
Package Short Urlhttps://bioconductor.org/packages/CSAR/
Package Downloads ReportDownload Stats

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