Package: ALPS
Title: AnaLysis routines for ePigenomicS data
Version: 1.1.0
Author: Venu Thatikonda, Natalie Jäger
Maintainer: Venu Thatikonda <thatikonda92@gmail.com>
Description: The package provides analysis and publication quality visualization routines for genome-wide 
  epigenomics data such as histone modification or transcription factor ChIP-seq, ATAC-seq, DNase-seq etc. 
  The functions in the package can be used with any type of data that can be represented with bigwig files 
  at any resolution. The goal of the ALPS is to provide analysis tools for most downstream analysis without 
  leaving the R environment and most tools in the package require a minimal input that can be prepared with 
  basic R, unix or excel skills.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.1.1
Depends: R (>= 3.6)
Imports: assertthat, BiocParallel, ChIPseeker, corrplot, data.table,
        dplyr, GenomicRanges, GGally, genefilter, gghalves, ggplot2,
        ggseqlogo, Gviz, magrittr, org.Hs.eg.db, plyr, reshape2,
        rtracklayer, stats, stringr, tibble, tidyr,
        TxDb.Hsapiens.UCSC.hg19.knownGene,
        TxDb.Hsapiens.UCSC.hg38.knownGene, utils
URL: https://github.com/itsvenu/ALPS
BugReports: https://github.com/itsvenu/ALPS/issues
Suggests: knitr, rmarkdown, ComplexHeatmap, circlize, testthat
biocViews: Epigenetics, Sequencing, ChIPSeq, ATACSeq, Visualization,
        Transcription, HistoneModification
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/ALPS
git_branch: master
git_last_commit: 197e20b
git_last_commit_date: 2019-10-29
Date/Publication: 2020-04-07
NeedsCompilation: no
Packaged: 2020-04-08 05:04:58 UTC; biocbuild
Built: R 4.0.0; ; 2020-04-08 18:24:08 UTC; unix
