Package: QuasR
Type: Package
Title: Quantify and Annotate Short Reads in R
Version: 1.26.0
Date: 2019-10-12
Author: Anita Lerch, Charlotte Soneson, Dimos Gaiditzis and Michael Stadler
Maintainer: Michael Stadler <michael.stadler@fmi.ch>
Depends: R (>= 3.6), parallel, GenomicRanges (>= 1.13.3), Rbowtie
Imports: methods, grDevices, graphics, utils, BiocGenerics, S4Vectors
        (>= 0.9.25), IRanges, BiocManager, Biobase, Biostrings,
        BSgenome, Rsamtools (>= 1.99.1), GenomicFeatures (>= 1.17.13),
        ShortRead (>= 1.19.1), GenomicAlignments, BiocParallel,
        GenomeInfoDb, rtracklayer, GenomicFiles, Rhisat2, AnnotationDbi
Suggests: Gviz, BiocStyle, knitr, rmarkdown, covr, testthat
LinkingTo: Rhtslib (>= 1.15.3)
SystemRequirements: GNU make
Description: This package provides a framework for the quantification
    and analysis of Short Reads. It covers a complete workflow
    starting from raw sequence reads, over creation of alignments
    and quality control plots, to the quantification of genomic
    regions of interest.
License: GPL-2
biocViews: Genetics, Preprocessing, Sequencing, ChIPSeq, RNASeq,
        MethylSeq, Coverage, Alignment, QualityControl, ImmunoOncology
Archs: x64
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/QuasR
git_branch: RELEASE_3_10
git_last_commit: 666a27b
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: yes
Packaged: 2019-10-30 00:38:41 UTC; biocbuild
Built: R 3.6.1; x86_64-apple-darwin13.4.0; 2019-11-02 23:00:26 UTC; unix
