Siddharthan Rahul
The Institute of Mathematical Sciences, Chennai 600 113, India.
J Biosci. 2007 Aug;32(5):863-70. doi: 10.1007/s12038-007-0086-0.
In this review, we discuss the general problem of understanding transcriptional regulation from DNA sequence and prior information. The main tasks we discuss are predicting local regions of DNA, cis-regulatory modules (CRMs) that contain binding sites for transcription factors (TFs), and predicting individual binding sites. We review various existing methods, and then describe the approach taken by PhyloGibbs, a recent motif-finding algorithm that we developed to predict TF binding sites, and PhyloGibbs-MP, an extension to PhyloGibbs that tackles other tasks in regulatory genomics, particularly prediction of CRMs.
在本综述中,我们讨论了从DNA序列和先验信息理解转录调控的一般问题。我们讨论的主要任务包括预测DNA的局部区域、包含转录因子(TF)结合位点的顺式调控模块(CRM)以及预测单个结合位点。我们回顾了各种现有方法,然后描述了PhyloGibbs(我们最近开发的一种用于预测TF结合位点的基序查找算法)以及PhyloGibbs-MP(PhyloGibbs的扩展,用于解决调控基因组学中的其他任务,特别是CRM预测)所采用的方法。