Your browser doesn't support javascript.
loading
PCRMS: a database of predicted cis-regulatory modules and constituent transcription factor binding sites in genomes.
Ni, Pengyu; Su, Zhengchang.
Afiliação
  • Ni P; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA.
  • Su Z; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA.
Database (Oxford) ; 20222022 04 22.
Article em En | MEDLINE | ID: mdl-35452518
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/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Elementos Reguladores de Transcrição Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Elementos Reguladores de Transcrição Idioma: En Ano de publicação: 2022 Tipo de documento: Article