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.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Condon DE,Tran PV,Lien YC,Schug J,Georgieff MK,Simmons RA,Won KJdoi
10.1186/s12859-018-2037-1subject
Has Abstractpub_date
2018-02-05 00:00:00pages
31issue
1issn
1471-2105pii
10.1186/s12859-018-2037-1journal_volume
19pub_type
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