Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data.
basic_science · Level V
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- Record sourced from PubMed, PMID 24618468.
- Also identified by DOI 10.1093/bioinformatics/btu142 and PMC identifier 4071208.
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Abstract
Here we present the open-source R/Bioconductor software package BEAT (BS-Seq Epimutation Analysis Toolkit). It implements all bioinformatics steps required for the quantitative high-resolution analysis of DNA methylation patterns from bisulfite sequencing data, including the detection of regional epimutation events, i.e. loss or gain of DNA methylation at CG positions relative to a reference. Using a binomial mixture model, the BEAT package aggregates methylation counts per genomic position, thereby compensating for low coverage, incomplete conversion and sequencing errors. BEAT is freely available as part of Bioconductor at www.bioconductor.org/packages/devel/bioc/html/BEAT.html. The package is distributed under the GNU Lesser General Public License 3.0.
Medical subject headings
- DNA Methylation
- Genomics
- High-Throughput Nucleotide Sequencing
- Sulfites