Package: gcapc
Title: GC Aware Peak Caller
Version: 1.12.0
Author: Mingxiang Teng and Rafael A. Irizarry
Maintainer: Mingxiang Teng <tengmx@gmail.com>
Description: Peak calling for ChIP-seq data with
    consideration of potential GC bias in sequencing
    reads. GC bias is first estimated with generalized
    linear mixture models using effective GC strategy,
    then applied into peak significance estimation.
Depends: R (>= 3.4)
Imports: BiocGenerics, GenomeInfoDb, S4Vectors, IRanges, Biostrings,
        BSgenome, GenomicRanges, Rsamtools, GenomicAlignments,
        matrixStats, MASS, splines, grDevices, graphics, stats, methods
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, BSgenome.Hsapiens.UCSC.hg19,
        BSgenome.Mmusculus.UCSC.mm10
URL: https://github.com/tengmx/gcapc
License: GPL-3
LazyData: true
biocViews: Sequencing, ChIPSeq, BatchEffect, PeakDetection
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/gcapc
git_branch: RELEASE_3_11
git_last_commit: cbf5796
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
NeedsCompilation: no
Packaged: 2020-04-28 05:20:03 UTC; biocbuild
Built: R 4.0.0; ; 2020-04-28 17:40:25 UTC; windows
