DMEAS: DNA methylation entropy analysis software - PubMed (original) (raw)

DMEAS: DNA methylation entropy analysis software

Jianlin He et al. Bioinformatics. 2013.

Abstract

Summary: DMEAS is the first user-friendly tool dedicated to analyze the distribution of DNA methylation patterns for the quantification of epigenetic heterogeneity. It supports the analysis of both locus-specific and genome-wide bisulfite sequencing data. DMEAS progressively scans the mapping results of bisulfite sequencing reads to extract DNA methylation patterns for contiguous CpG dinucleotides. It determines the DNA methylation level and calculates methylation entropy for genomic segments to enable the quantitative assessment of DNA methylation variations observed in cell populations.

Availability and implementation: DMEAS program, user guide and all the testing data are freely available from http://sourceforge.net/projects/dmeas/files/

PubMed Disclaimer

Figures

Fig. 1.

Fig. 1.

Methylation level/entropy analysis with DMEAS. (A) The histogram of DNA methylation level/entropy. (B) The scatter plot for the association between the methylation level and the methylation entropy. (C) The output table with DNA methylation entropy/level. (D) DNA methylation pattern heatmap for locus-specific data. The blue, red or gray represents for unmethylated, methylated or unknown methylation status, respectively

Similar articles

Cited by

References

    1. Krueger F, Andrews SR. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics. 2011;27:1571–1572. - PMC - PubMed
    1. Lutsik P, et al. BiQ Analyzer HT: locus-specific analysis of DNA methylation by high-throughput bisulfite sequencing. Nucleic Acids Res. 2011;39:W551–W556. - PMC - PubMed
    1. Rohde C, et al. BISMA–fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences. BMC Bioinformatics. 2010;11:230. - PMC - PubMed
    1. Shibata D. Cancer. Heterogeneity and tumor history. Science. 2012;336:304–305. - PubMed
    1. Su J, et al. CpG_MPs: identification of CpG methylation patterns of genomic regions from high-throughput bisulfite sequencing data. Nucleic Acids Res. 2013;41:e4. - PMC - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources