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CSAR

Statistical tools for the analysis of ChIP-seq data

Bioconductor version: 3.23 · Package version: 1.64.0

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.

Installation

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

BiocManager::install("CSAR")

Details

MaintainerJose M Muino <jose.muino@live.com>
AuthorJose M Muino
LicenseArtistic-2.0
Downloads rank591
Source branchRELEASE_3_23
biocViewsChIPSeq, Genetics, Software, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCSAR_1.64.0.tar.gz
Windows binary (x86_64)CSAR_1.64.0.zip
macOS binary (arm64)CSAR_1.64.0.tgz
macOS binary (x86_64)CSAR_1.64.0.tgz
Dependencies

Depends: R (>= 2.15.0), S4Vectors, IRanges, Seqinfo, GenomicRanges

Imports: stats, utils

Suggests: ShortRead, Biostrings