Package: uncoverappLib
Title: Interactive graphical application for clinical assessment of
        sequence coverage at the base-pair level
Version: 1.0.0
Authors@R: c(
    person("Emanuela","Iovino", email = "emanuela.iovino@unibo.it", role= c("cre", "aut")),
    person("Tommaso", "Pippucci", email = "tommaso.pippucci@unibo.it", role = "aut"))
Imports: markdown, shiny, shinyjs, shinyBS,
        shinyWidgets,shinycssloaders, DT, Gviz, Homo.sapiens, openxlsx,
        condformat, stringr, org.Hs.eg.db,
        TxDb.Hsapiens.UCSC.hg38.knownGene, BiocFileCache,rappdirs,
        TxDb.Hsapiens.UCSC.hg19.knownGene, rlist, utils,
        EnsDb.Hsapiens.v75, EnsDb.Hsapiens.v86, OrganismDbi,
        BSgenome.Hsapiens.UCSC.hg19, processx, Rsamtools, GenomicRanges
Description: a Shiny application containing a suite of graphical and statistical tools to support clinical assessment of low coverage regions.It displays three web pages each providing a different analysis module: Coverage analysis, calculate AF by allele frequency app and binomial distribution. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/Manuelaio/uncoverappLib
BugReports: https://github.com/Manuelaio/uncoverappLib/issues
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, testthat, rmarkdown, dplyr
biocViews: Software, Visualization, Annotation, Coverage
NeedsCompilation: no
Packaged: 2020-10-29 03:50:32 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/uncoverappLib
git_branch: RELEASE_3_12
git_last_commit: c39ff3a
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-28
Author: Emanuela Iovino [cre, aut],
  Tommaso Pippucci [aut]
Maintainer: Emanuela Iovino <emanuela.iovino@unibo.it>
Built: R 4.0.3; ; 2020-10-29 14:08:56 UTC; windows
