Package: CSAR
Type: Package
Title: Statistical tools for the analysis of ChIP-seq data
Version: 1.61.1
Date: 2025-07-24
Author: Jose M Muino
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.
Depends: R (>= 2.15.0), S4Vectors, IRanges, Seqinfo, GenomicRanges
Maintainer: Jose M Muino <jose.muino@live.com>
Suggests: ShortRead, Biostrings
Imports: stats, utils
License: Artistic-2.0
LazyLoad: yes
LazyData: yes
biocViews: ChIPSeq, Transcription, Genetics
git_url: https://git.bioconductor.org/packages/CSAR
git_branch: devel
git_last_commit: 6b5b524
git_last_commit_date: 2025-07-24
Repository: Bioconductor 3.22
Date/Publication: 2025-07-25
NeedsCompilation: yes
Packaged: 2025-07-25 22:19:06 UTC; biocbuild
Built: R 4.5.1; x86_64-w64-mingw32; 2025-07-26 12:53:32 UTC; windows
Archs: x64
