To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CSAR")
In most cases, you don't need to download the package archive at all.
This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see CSAR.
Bioconductor version: 2.10
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 wur.nl>
Citation (from within R,
enter citation("CSAR")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CSAR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CSAR")
Follow Installation instructions to use this package in your R session.
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