DOI: 10.18129/B9.bioc.fCCAC    

This package is for version 3.12 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: 3.12

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")):


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PDF R Script fCCAC Vignette
PDF   Reference Manual
Text   NEWS


biocViews Coverage, Genetics, Sequencing, Software, Transcription
Version 1.16.0
In Bioconductor since BioC 3.4 (R-3.3) (4.5 years)
License Artistic-2.0
Depends R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid
Imports fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils
Suggests RUnit, BiocGenerics, BiocStyle
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package fCCAC_1.16.0.tar.gz
Windows Binary fCCAC_1.16.0.zip
macOS 10.13 (High Sierra) fCCAC_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fCCAC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fCCAC
Package Short Url https://bioconductor.org/packages/fCCAC/
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