Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus

David E Condon, Phu V Tran, Yu-Chin Lien, Jonathan Schug, Michael K Georgieff, Rebecca A Simmons, Kyoung-Jae Won

12 Citationer (Scopus)

Abstract

BACKGROUND: Identification of differentially methylated regions (DMRs) is the initial step towards the study of DNA methylation-mediated gene regulation. Previous approaches to call DMRs suffer from false prediction, use extreme resources, and/or require library installation and input conversion.

RESULTS: We developed a new approach called Defiant to identify DMRs. Employing Weighted Welch Expansion (WWE), Defiant showed superior performance to other predictors in the series of benchmarking tests on artificial and real data. Defiant was subsequently used to investigate DNA methylation changes in iron-deficient rat hippocampus. Defiant identified DMRs close to genes associated with neuronal development and plasticity, which were not identified by its competitor. Importantly, Defiant runs between 5 to 479 times faster than currently available software packages. Also, Defiant accepts 10 different input formats widely used for DNA methylation data.

CONCLUSIONS: Defiant effectively identifies DMRs for whole-genome bisulfite sequencing (WGBS), reduced-representation bisulfite sequencing (RRBS), Tet-assisted bisulfite sequencing (TAB-seq), and HpaII tiny fragment enrichment by ligation-mediated PCR-tag (HELP) assays.

OriginalsprogEngelsk
TidsskriftBMC Bioinformatics
Vol/bind19
Udgave nummer1
Sider (fra-til)31
ISSN1471-2105
DOI
StatusUdgivet - 5 feb. 2018
Udgivet eksterntJa

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