fCCAC
This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see fCCAC.
functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
Bioconductor version: 3.9
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.
Author: Pedro Madrigal <bioinformatics.engineer at gmail.com>
Maintainer: Pedro Madrigal <bioinformatics.engineer at gmail.com>
citation("fCCAC")
):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fCCAC")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fCCAC")
fCCAC Vignette | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Coverage, Genetics, Sequencing, Software, Transcription |
Version | 1.10.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (7.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid |
Imports | fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils |
System Requirements | |
URL |
See More
Suggests | RUnit, BiocGenerics, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | fCCAC_1.10.0.tar.gz |
Windows Binary | fCCAC_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | fCCAC_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fCCAC |
Source Repository (Developer Access) | git clone [email protected]:packages/fCCAC |
Bioc Package Browser | https://code.bioconductor.org/browse/fCCAC/ |
Package Short Url | https://bioconductor.org/packages/fCCAC/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.9 | Source Archive |