CSAR

This is the development version of CSAR; for the stable release version, see CSAR.

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, enter citation("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 devel
BiocManager::install(version='devel')
BiocManager::install("CSAR")

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