To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

fCCAC

 

   

This is the development version of fCCAC; for the stable release version, see fCCAC.

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

Bioconductor version: Development (3.5)

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>

Citation (from within R, enter citation("fCCAC")):

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 1.1.1
In Bioconductor since BioC 3.4 (R-3.3) (< 6 months)
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.

Package Source fCCAC_1.1.1.tar.gz
Windows Binary fCCAC_1.1.1.zip
Mac OS X 10.9 (Mavericks) fCCAC_1.1.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/fCCAC
Package Short Url http://bioconductor.org/packages/fCCAC/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: