| Literature DB >> 29309841 |
Maryam Yassi1, Ehsan Shams Davodly1, Afsaneh Mojtabanezhad Shariatpanahi1, Mehdi Heidari1, Mahdieh Dayyani1, Alireza Heravi-Moussavi2, Mohammad Hossein Moattar3, Mohammad Amin Kerachian4.
Abstract
DNA methylation is an important epigenetic modification involved in many biological processes and diseases. Computational analysis of differentially methylated regions (DMRs) could explore the underlying reasons of methylation. DMRFusion is presented as a useful tool for comprehensive DNA methylation analysis of DMRs on methylation sequencing data. This tool is designed base on the integration of several ranking methods; Information gain, Between versus within Class scatter ratio, Fisher ratio, Z-score and Welch's t-test. In this study, DMRFusion on reduced representation bisulfite sequencing (RRBS) data in chronic lymphocytic leukemia cancer displayed 30 nominated regions and CpG sites with a maximum methylation difference detected in the hypermethylation DMRs. We realized that DMRFusion is able to process methylation sequencing data in an efficient and accurate manner and to provide annotation and visualization for DMRs with high fold difference score (p-value and FDR<0.05 and type I error: 0.04).Entities:
Keywords: DNA methylation; Differentially methylated regions; Epigenetic; Filter method; Reduced representation bisulfite sequencing
Mesh:
Year: 2018 PMID: 29309841 DOI: 10.1016/j.ygeno.2017.12.006
Source DB: PubMed Journal: Genomics ISSN: 0888-7543 Impact factor: 5.736