Package: MIRA
Version: 1.4.1
Date: 2018-10-24
Title: Methylation-Based Inference of Regulatory Activity
Description: MIRA measures the degree of "dip" in methylation
    level surrounding a regulatory site of interest, such as a
    transcription factor binding site, for instances of that
    type of site across the genome which can then be used to 
    infer regulatory activity.
Authors@R: c(person("Nathan", "Sheffield", role=c("aut")),
	person("John", "Lawson", email="jtl2hk@virginia.edu", role=c("aut", "cre")),
	person("Christoph", "Bock", role=c("ctb")))
Author: Nathan Sheffield <http://www.databio.org> [aut],
    Christoph Bock [ctb],
    John Lawson [aut, cre]
Maintainer: John Lawson <jtl2hk@virginia.edu>
Depends: R (>= 3.5)
Imports: BiocGenerics, S4Vectors, IRanges, GenomicRanges, data.table,
        ggplot2, Biobase, stats, bsseq, methods
Suggests: knitr, parallel, testthat, BiocStyle, rmarkdown,
        AnnotationHub, LOLA
VignetteBuilder: knitr
License: GPL-3
biocViews: ImmunoOncology, DNAMethylation, GeneRegulation,
        GenomeAnnotation, SystemsBiology, FunctionalGenomics, ChIPSeq,
        MethylSeq, Sequencing, Epigenetics, Coverage
URL: http://databio.org/mira
BugReports: https://github.com/databio/MIRA
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/MIRA
git_branch: RELEASE_3_8
git_last_commit: 1986619
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 04:44:17 UTC; biocbuild
Built: R 3.5.2; ; 2019-01-05 12:23:42 UTC; windows
