HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.

ABSTRACT:

Background

The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate identification of differentially methylated regions (DMRs) between samples. Sensitive and specific identification of DMRs among different conditions requires accurate and efficient algorithms, and while various tools have been developed to tackle this problem, they frequently suffer from inaccurate DMR boundary identification and high false positive rate.

Results

We present a novel Histogram Of MEthylation (HOME) based method that takes into account the inherent difference in the distribution of methylation levels between DMRs an

SUBMITTER: Srivastava A 

PROVIDER: S-EPMC6521357 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature