Finding de novo methylated DNA motifs | Zendy

Vu Ngo | Zendy; Mengchi Wang | Zendy; Wei Wang | Zendy

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Finding de novo methylated DNA motifs

Author(s) -

Vu Ngo,

Mengchi Wang,

Wei Wang

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz079

Subject(s) - motif (music) , computational biology , dna methylation , sequence motif , dna , biology , structural motif , methylation , dna sequencing , genetics , gene , biochemistry , gene expression , physics , acoustics

Increasing evidence has shown that nucleotide modifications such as methylation and hydroxymethylation on cytosine would greatly impact the binding of transcription factors (TFs). However, there is a lack of motif finding algorithms with the function to search for motifs with modified bases. In this study, we expand on our previous motif finding pipeline Epigram to provide systematic de novo motif discovery and performance evaluation on methylated DNA motifs.

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