Package: fCCAC
Version: 1.13.0
Date: 2018-08-02
Type: Package
Title: functional Canonical Correlation Analysis to evaluate Covariance
        between nucleic acid sequencing datasets
Author: Pedro Madrigal <bioinformatics.engineer@gmail.com>
Description: An application of functional canonical correlation
        analysis to assess covariance of nucleic acid sequencing
        datasets such as chromatin immunoprecipitation followed by deep
        sequencing (ChIP-seq). The package can be used as well with other types
	of sequencing data such as neMeRIP-seq (PMID: 29489750) or with single cell
	RNA-seq or epigenome data provided in bigWig format.
Depends: R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid
Maintainer: Pedro Madrigal <bioinformatics.engineer@gmail.com>
Imports: fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap,
        grDevices, stats, utils
Suggests: RUnit, BiocGenerics, BiocStyle
License: Artistic-2.0
LazyLoad: yes
LazyData: yes
biocViews: Transcription, Genetics, Sequencing, Coverage
git_url: https://git.bioconductor.org/packages/fCCAC
git_branch: master
git_last_commit: 7d7f137
git_last_commit_date: 2019-10-29
Date/Publication: 2020-04-07
NeedsCompilation: no
Packaged: 2020-04-08 03:28:19 UTC; biocbuild
Built: R 4.0.0; ; 2020-04-08 17:45:43 UTC; unix
