Literature DB >> 29309841

DMRFusion: A differentially methylated region detection tool based on the ranked fusion method.

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).
Copyright © 2018 Elsevier Inc. All rights reserved.

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


  4 in total

1.  DNA methylation profiles capturing breast cancer heterogeneity.

Authors:  Xiao Chen; Jianying Zhang; Xiaofeng Dai
Journal:  BMC Genomics       Date:  2019-11-07       Impact factor: 3.969

2.  A-Lister: a tool for analysis of differentially expressed omics entities across multiple pairwise comparisons.

Authors:  Stanislav A Listopad; Trina M Norden-Krichmar
Journal:  BMC Bioinformatics       Date:  2019-11-19       Impact factor: 3.169

3.  Crosstalk between DNA methylation and gene expression in colorectal cancer, a potential plasma biomarker for tracing this tumor.

Authors:  Mohammad Amin Kerachian; Ali Javadmanesh; Marjan Azghandi; Afsaneh Mojtabanezhad Shariatpanahi; Maryam Yassi; Ehsan Shams Davodly; Amin Talebi; Fatemeh Khadangi; Ghodratollah Soltani; Abdorasool Hayatbakhsh; Kamran Ghaffarzadegan
Journal:  Sci Rep       Date:  2020-02-18       Impact factor: 4.379

4.  Aberrantly methylated-differentially genes and pathways among Iranian patients with colorectal cancer.

Authors:  Mahla Ghorbani; Marjan Azghandi; Mohammad Amin Kerachian
Journal:  Cancer Cell Int       Date:  2021-07-03       Impact factor: 5.722

  4 in total

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