Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA.
Database (Oxford). 2022 Apr 22;2022. doi: 10.1093/database/baac024.
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/.
更准确和完整的顺式调控模块 (CRMs) 和组成转录因子 (TF) 结合位点 (TFBS) 的预测可以促进调控序列功能的表征。在这里，我们开发了一个数据库预测顺式调控模块 (PCRMS) (https://cci-bioinfo.uncc.edu)，它存储了人类和小鼠基因组中高度准确和前所未有的完整的预测 CRM 和 TFBS 图谱。该网络界面允许用户浏览一个生物体中的 CRM 和 TFBS，找到离基因最近的 CRM，搜索基因周围的 CRM，并找到一个 TF 的所有 TFBS。PCRMS 可以成为研究社区用来表征调控基因组的有用资源。数据库网址：https://cci-bioinfo.uncc.edu/。
