A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human
Author(s) -
Liang Cheng,
Yue Li,
Jiawei Luo,
Zhaolei Zhang
Publication year - 2015
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/btv159
Subject(s) - computational biology , gene regulatory network , microrna , biological network , biology , motif (music) , gene , transcription factor , robustness (evolution) , dna binding site , regulation of gene expression , systems biology , computer science , genetics , gene expression , promoter , physics , acoustics
Interplays between transcription factors (TFs) and microRNAs (miRNAs) in gene regulation are implicated in various physiological processes. It is thus important to identify biologically meaningful network motifs involving both types of regulators to understand the key co-regulatory mechanisms underlying the cellular identity and function. However, existing motif finders do not scale well for large networks and are not designed specifically for co-regulatory networks.
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