PCRMS: a database of predicted cis-regulatory modules and constituent transcription factor binding sites in genomes

P Ni, Z Su - Database, 2022 - academic.oup.com
Database, 2022academic.oup.com
More accurate and more complete predictions of cis-regulatory modules (CRMs) and
constituent transcription factor (TF) binding sites (TFBSs) in genomes can facilitate
characterizing functions of regulatory sequences. Here, we developed a database predicted
cis-regulatory modules (PCRMS)(https://cci-bioinfo. uncc. edu) that stores highly accurate
and unprecedentedly complete maps of predicted CRMs and TFBSs in the human and
mouse genomes. The web interface allows the user to browse CRMs and TFBSs in an …
Abstract
More accurate and more complete predictions of cis-regulatory modules (CRMs) and constituent transcription factor (TF) binding sites (TFBSs) in genomes can facilitate characterizing functions of regulatory sequences. Here, we developed a database predicted cis-regulatory modules (PCRMS) (https://cci-bioinfo.uncc.edu) that stores highly accurate and unprecedentedly complete maps of predicted CRMs and TFBSs in the human and mouse genomes. The web interface allows the user to browse CRMs and TFBSs in an organism, find the closest CRMs to a gene, search CRMs around a gene and find all TFBSs of a TF. PCRMS can be a useful resource for the research community to characterize regulatory genomes.
Database URL: https://cci-bioinfo.uncc.edu/
Oxford University Press
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