fCCAC

DOI: 10.18129/B9.bioc.fCCAC    

functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets

Bioconductor version: Release (3.6)

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).

Author: Pedro Madrigal <pm12 at sanger.ac.uk>

Maintainer: Pedro Madrigal <pm12 at sanger.ac.uk>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fCCAC")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fCCAC")

 

PDF	R Script	fCCAC Vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	Coverage, Genetics, Sequencing, Software, Transcription
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 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
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	fCCAC_1.4.0.tar.gz
Windows Binary	fCCAC_1.4.0.zip
Mac OS X 10.11 (El Capitan)	fCCAC_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/fCCAC
Package Short Url	http://bioconductor.org/packages/fCCAC/
Package Downloads Report	Download Stats