This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see fCCAC.
Bioconductor version: 3.13
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 (see PMID: 29489750).
Author: Pedro Madrigal <bioinformatics.engineer at gmail.com>
Maintainer: Pedro Madrigal <bioinformatics.engineer at gmail.com>
Citation (from within R,
enter citation("fCCAC")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("fCCAC")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fCCAC")
R Script | fCCAC Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | Coverage, Genetics, Sequencing, Software, Transcription |
Version | 1.18.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid |
Imports | fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils |
LinkingTo | |
Suggests | RUnit, BiocGenerics, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | fCCAC_1.18.0.tar.gz |
Windows Binary | fCCAC_1.18.0.zip |
macOS 10.13 (High Sierra) | fCCAC_1.18.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fCCAC |
Source Repository (Developer Access) | git clone [email protected]:packages/fCCAC |
Package Short Url | https://bioconductor.org/packages/fCCAC/ |
Package Downloads Report | Download Stats |
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