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CSAR (version 1.24.0)

Statistical tools for the analysis of ChIP-seq data

Description

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.

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Version

Version

1.24.0

License

Artistic-2.0

Maintainer

Jose M Muino

Last Published

February 15th, 2017

Functions in CSAR (1.24.0)

permutatedWinScores

Calculate scores for permutated read-enriched regions
genesWithPeaks

Provide table of genes with read-enriched regions, and their location
CSAR-package

Statistical tools for the analysis of ChIP-seq data
mappedReads2Nhits

Calculate number of overlapped extended reads per nucleotide position
ChIPseqScore

Calculate read-enrichment scores for each nucleotide position
getPermutatedWinScores

Obtain the read-enrichment score distribution under the null hypothesis
loadMappedReads

Load mapped reads
getThreshold

Calculate the threshold value corresponding to control FDR at a desired level
sigWin

Calculate regions of read-enrichment
score2wig

Save the read-enrichment scores at each nucleotide position in a .wig file format
sampleSEP3_test

Partial dataset of a ChIP-seq experiment
distance2Genes

Calculate relative positions of read-enriched regions regarding gene position