Münch Richard, Hiller Karsten, Grote Andreas, Scheer Maurice, Klein Johannes, Schobert Max, Jahn Dieter
Institute of Microbiology, Technical University Braunschweig, Germany.
Bioinformatics. 2005 Nov 15;21(22):4187-9. doi: 10.1093/bioinformatics/bti635. Epub 2005 Aug 18.
A new online framework for the accurate and integrative prediction of transcription factor binding sites (TFBSs) in prokaryotes was developed. The system consists of three interconnected modules: (1) The PRODORIC database as a comprehensive data source and extensive collection of TFBSs with corresponding position weight matrices. (2) The pattern matching tool Virtual Footprint for the prediction of genome based regulons and for the analysis of individual promoter regions. (3) The interactive genome browser GBPro for the visualization of TFBS search results in their genomic context and links to gene and regulator-specific information in PRODORIC. The aim of this service is to provide researchers a free and easy to use collection of interconnected tools in the field of molecular microbiology, infection and systems biology.
开发了一种用于准确、综合预测原核生物转录因子结合位点（TFBSs）的新型在线框架。该系统由三个相互关联的模块组成：（1）PRODORIC数据库，作为一个全面的数据源，广泛收集了带有相应位置权重矩阵的TFBSs。（2）模式匹配工具Virtual Footprint，用于基于基因组的调控子预测和单个启动子区域分析。（3）交互式基因组浏览器GBPro，用于在基因组背景下可视化TFBS搜索结果，并链接到PRODORIC中基因和调控子特异性信息。该服务的目的是为研究人员提供分子微生物学、感染和系统生物学领域中一套免费且易于使用的相互关联工具。
