Package: epialleleR
Title: Fast, Epiallele-Aware Methylation Reporter
Version: 1.0.0
Authors@R: 
  person(given = "Oleksii",
    family = "Nikolaienko",
    role = c("aut", "cre"),
    email = "oleksii.nikolaienko@gmail.com",
    comment = c(ORCID = "0000-0002-5910-4934"))
CommentMaintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>
Description: Epialleles are specific DNA methylation patterns that are
  mitotically and/or meiotically inherited. This package calls hypermethylated
  epiallele frequencies at the level of genomic regions or individual cytosines
  in next-generation sequencing data using binary alignment map (BAM) files as
  an input. Other functionality includes computing the empirical cumulative
  distribution function for per-read beta values, and testing the significance
  of the association between epiallele methylation status and base frequencies
  at particular genomic positions (SNPs).
CommentSystemRequirements: C++17
NeedsCompilation: yes
Depends: R (>= 4.1)
Imports: stats, methods, utils, Rsamtools, GenomicRanges, BiocGenerics,
        GenomeInfoDb, SummarizedExperiment, VariantAnnotation, stringi,
        data.table
LinkingTo: Rcpp, BH
Suggests: RUnit, knitr, rmarkdown
License: Artistic-2.0
URL: https://github.com/BBCG/epialleleR
BugReports: https://github.com/BBCG/epialleleR/issues
Encoding: UTF-8
biocViews: DNAMethylation, Epigenetics, MethylSeq
RoxygenNote: 7.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/epialleleR
git_branch: RELEASE_3_13
git_last_commit: b01940d
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
Packaged: 2021-05-19 23:57:46 UTC; biocbuild
Author: Oleksii Nikolaienko [aut, cre]
    (<https://orcid.org/0000-0002-5910-4934>)
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>
Built: R 4.1.0; i386-w64-mingw32; 2021-05-20 08:00:02 UTC; windows
Archs: i386, x64
