CSAR

DOI: 10.18129/B9.bioc.CSAR    

Statistical tools for the analysis of ChIP-seq data

Bioconductor version: Release (3.15)

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, enter citation("CSAR")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CSAR")

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("CSAR")

 

PDF R Script CSAR Vignette
PDF   Reference Manual

Details

biocViews ChIPSeq, Genetics, Software, Transcription
Version 1.48.0
In Bioconductor since BioC 2.6 (R-2.11) (12.5 years)
License Artistic-2.0
Depends R (>= 2.15.0), S4Vectors, IRanges, GenomeInfoDb, GenomicRanges
Imports stats, utils
LinkingTo
Suggests ShortRead, Biostrings
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CSAR_1.48.0.tar.gz
Windows Binary CSAR_1.48.0.zip
macOS Binary (x86_64) CSAR_1.48.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CSAR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CSAR
Package Short Url https://bioconductor.org/packages/CSAR/
Package Downloads Report Download Stats

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