COCOA
"COCOA" is a computational framework to address the challenge of determining the biological significance of epigenetic variation among individuals. It introduces Coordinate Covariation Analysis, a tool capable of annotating epigenetic heterogeneity using the covariation of epigenetic signals across individuals and a database of region sets. While the primary focus is on DNA methylation data, COCOA is versatile enough to analyze any epigenetic signal with genomic coordinates. The tool demonstrates its utility through supervised and unsupervised analyses of DNA methylation, ATAC-seq, and multi-omic data.
Topic
Epigenetics;Methylated DNA immunoprecipitation;Transcription factors and regulatory sites;Sequencing;Chromosome conformation capture
Detail
Operation: Gene methylation analysis;DMR identification;Whole genome methylation analysis
Software interface: Library
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 2.16.0
Credit: -
Input: -
Output: -
Contact: John Lawson jtl2hk@virginia.edu
Collection: -
Maturity: Stable
Publications
- COCOA: Coordinate covariation analysis of epigenetic heterogeneity
- Lawson JT, Smith JP, Bekiranov S, Garrett-Bakelman FE, Sheffield NC. COCOA: coordinate covariation analysis of epigenetic heterogeneity. Genome Biol. 2020 Sep 7;21(1):240. doi: 10.1186/s13059-020-02139-4. PMID: 32894181; PMCID: PMC7487606.
- https://doi.org/10.1186/s13059-020-02139-4
- PMID: 32894181
- PMC: PMC7487606
Download and documentation
Source: http://bioconductor.org/src/contrib/COCOA_2.16.0.tar.gz
Documentation: http://bioconductor.org/manuals/COCOA/man/COCOA.pdf
Home page: http://bioconductor.org/packages/COCOA
Links: http://bioconductor.org/vignettes/COCOA/inst/doc/IntroToCOCOA.html
Links: http://bioconductor.org/vignettes/COCOA/inst/doc/IntroToCOCOA.R
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