PCRMS: a database of predicted cis-regulatory modules and constituent transcription factor binding sites in genomes-Reference-Cited by-同舟云学术

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

Published:2022-01-01 Issue: Volume:2022 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Ni Pengyu¹,Su Zhengchang¹^ORCID

Affiliation:

1. Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA

Abstract

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/

Funder

US National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://academic.oup.com/database/article-pdf/doi/10.1093/database/baac024/43411102/baac024.pdf

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