Package: cliProfiler
Type: Package
Title: A package for the CLIP data visualization
Version: 1.4.0
Date: 2021-09-30
Authors@R: c(person(given = "You",
                    family = "Zhou",
                    role = c("aut", "cre"),
                    email = "youzhoulearning@gmail.com",
                    comment = c(ORCID = "0000-0003-1755-9073")),
             person(given = "Kathi",
                    family = "Zarnack",
                    role = c("aut"),
                    email = "kathi.zarnack@bmls.de",
                    comment = c(ORCID = "0000-0003-3527-3378")))
Description: An easy and fast way to visualize and profile the high-throughput 
    IP data. This package generates the meta gene profile and other profiles. 
    These profiles could provide valuable information for understanding the 
    IP experiment results.
License: Artistic-2.0
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/Codezy99/cliProfiler
BugReports: https://github.com/Codezy99/cliProfiler/issues
biocViews: Sequencing, ChIPSeq, Visualization, Epigenetics, Genetics
RoxygenNote: 7.1.1
Imports: dplyr, rtracklayer, GenomicRanges, ggplot2, BSgenome,
        Biostrings, utils
Depends: S4Vectors, methods, R (>= 4.1)
Suggests: knitr, rmarkdown, bookdown, testthat, BiocStyle
git_url: https://git.bioconductor.org/packages/cliProfiler
git_branch: RELEASE_3_16
git_last_commit: 39988d3
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 21:10:12 UTC; biocbuild
Author: You Zhou [aut, cre] (<https://orcid.org/0000-0003-1755-9073>),
  Kathi Zarnack [aut] (<https://orcid.org/0000-0003-3527-3378>)
Maintainer: You Zhou <youzhoulearning@gmail.com>
Built: R 4.2.2; ; 2022-11-07 23:31:44 UTC; unix
