Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("CSAR")
To cite this package in a publication, start R and enter:
citation("CSAR")
R Script | CSAR Vignette | |
Reference Manual |
biocViews | ChIPseq, Genetics, Software, Transcription |
Version | 1.12.0 |
In Bioconductor since | BioC 2.6 (R-2.11) |
License | Artistic-2.0 |
Depends | R (>= 2.15.0), IRanges, GenomicRanges |
Imports | stats, utils |
Suggests | ShortRead, Biostrings |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | NarrowPeaks |
Suggests Me | NarrowPeaks |
Package Source | CSAR_1.12.0.tar.gz |
Windows Binary | CSAR_1.12.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | CSAR_1.12.0.tgz |
Package Downloads Report | Download Stats |
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