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

Citation
Condon, D. E., et al. “Defiant: (Dmrs: Easy, Fast, Identification And Annotation) Identifies Differentially Methylated Regions From Iron-Deficient Rat Hippocampus.”. Bmc Bioinformatics, p. 31.
Center University of Pennsylvania
Author David E Condon, Phu Tran V, Yu-Chin Lien, Jonathan Schug, Michael K Georgieff, Rebecca A Simmons, Kyoung-Jae Won
Keywords Bisulfite sequencing, DNA methylation, Differentially Methylated regions (DMR), Epigenetics, RRBS, WGBS
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.

Year of Publication
2018
Journal
BMC bioinformatics
Volume
19
Issue
1
Number of Pages
31
Date Published
12/2018
ISSN Number
1471-2105
DOI
10.1186/s12859-018-2037-1
Alternate Journal
BMC Bioinformatics
PMID
29402210
PMCID
PMC5800085
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