Summary: 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. © The Author 2014.
CITATION STYLE
Akman, K., Haaf, T., Gravina, S., Vijg, J., & Tresch, A. (2014). Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data. Bioinformatics, 30(13), 1933–1934. https://doi.org/10.1093/bioinformatics/btu142
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