| URL: | https://cci-bioinfo.uncc.edu |
| Full name: | predicted cis-regulatory modules |
| Description: | The PCRMs (predicted cis-regulatory modules) database holds de novo predicted CRMs and TFBSs (transcription factor binding sites) in genomes of human and important model organisms. The CRMs and constituent TFBSs were predicted by integrating all available TF ChIP-seq datasets from cell/tissue types of the organism using the dePCRM2 algorithm. |
| Year founded: | 2022 |
| Last update: | 2022-06-03 |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| University/Institution: | University of North Carolina at Charlotte |
| Address: | Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA. |
| City: | Charlotte |
| Province/State: | North Carolina |
| Country/Region: | United States |
| Contact name (PI/Team): | Zhengchang Su |
| Contact email (PI/Helpdesk): | zcsu@uncc.edu |
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PCRMS: a database of predicted cis-regulatory modules and constituent transcription factor binding sites in genomes. [PMID: 35452518]
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/. |