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 | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!