National Centre for Bioinformatics, Quaid-i-Azam University, Islamabad 44000, Pakistan.
Genomics Proteomics Bioinformatics. 2012 Dec;10(6):354-9. doi: 10.1016/j.gpb.2012.06.007. Epub 2012 Dec 2.
Recent advances in the development of high-throughput tools have significantly revolutionized our understanding of molecular mechanisms underlying normal and dysfunctional biological processes. Here we present a novel computational tool, transcription factor search and analysis tool (TrFAST), which was developed for the in silico analysis of transcription factor binding sites (TFBSs) of signaling pathway-specific TFs. TrFAST facilitates searching as well as comparative analysis of regulatory motifs through an exact pattern matching algorithm followed by the graphical representation of matched binding sites in multiple sequences up to 50kb in length. TrFAST is proficient in reducing the number of comparisons by the exact pattern matching strategy. In contrast to the pre-existing tools that find TFBS in a single sequence, TrFAST seeks out the desired pattern in multiple sequences simultaneously. It counts the GC content within the given multiple sequence data set and assembles the combinational details of consensus sequence(s) located at these regions, thereby generating a visual display based on the abundance of unique pattern. Comparative regulatory region analysis of multiple orthologous sequences simultaneously enhances the features of TrFAST and provides a significant insight into study of conservation of non-coding cis-regulatory elements. TrFAST is freely available at http://www.fi-pk.com/trfast.html.
近年来高通量工具的发展极大地推动了我们对正常和功能失调的生物学过程的分子机制的理解。在这里,我们介绍了一种新的计算工具,转录因子搜索和分析工具(TrFAST),它是为信号通路特异性转录因子的转录因子结合位点(TFBS)的计算机分析而开发的。TrFAST 通过精确模式匹配算法促进了搜索以及通过图形表示多达 50kb 长度的多个序列中的匹配结合位点的调控基序的比较分析。TrFAST 擅长通过精确模式匹配策略减少比较的数量。与仅在单个序列中查找 TFBS 的现有工具不同,TrFAST 同时在多个序列中寻找所需的模式。它计算给定多序列数据集中的 GC 含量,并组合位于这些区域的共识序列的组合细节,从而根据独特模式的丰富程度生成基于视觉的显示。多个直系同源序列的比较调控区分析增强了 TrFAST 的特征,并为非编码顺式调控元件的保守性研究提供了重要的见解。TrFAST 可免费在 http://www.fi-pk.com/trfast.html 获取。