This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see fCCAC.
Bioconductor version: 3.10
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 (from within R,
enter citation("fCCAC")):
To install this package, start R (version "3.6") 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 | 1.12.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (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_1.12.0.tar.gz |
| Windows Binary | fCCAC_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | fCCAC_1.12.0.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/ |
| Package Downloads Report | Download Stats |
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