Package: CSAR 1.57.0

Jose M Muino

CSAR: Statistical tools for the analysis of ChIP-seq data

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.

Authors:Jose M Muino

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CSAR.pdf |CSAR.html
CSAR/json (API)

# Install 'CSAR' in R:
install.packages('CSAR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:CSAR-1.57.0(bioc 3.20)CSAR-1.56.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

15 exports 3.00 score 17 dependencies 15 mentions

Last updated 2 months agofrom:d5d5da1b30

Exports:ChIPseqScoredistance2GenesgenesWithPeaksgetPermutatedWinScoresgetThresholdLoadBinCSARloadMappedReadsmappedReads2NhitsmappedReads2Nhits_chrpermutatedWinScorespos2Nhitsscore_chrscore2wigsigWinsigWin_chr

Dependencies:askpassBiocGenericscurlGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitemimeopensslR6S4VectorssysUCSC.utilsXVectorzlibbioc

CSAR Vignette

Rendered fromCSAR.Rnwusingutils::Sweaveon Jul 03 2024.

Last update: 2020-03-06
Started: 2013-11-01