Parsing regulatory DNA: general tasks, techniques, and the PhyloGibbs approach.
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.
Siddharthan
Rahul
R
The Institute of Mathematical Sciences, Chennai 600 113, India. rsidd@imsc.res.in
D000818:Animals; D001483:Base Sequence; D019295:Computational Biology / Q000379:methods*; D004247:DNA / Q000737:chemistry / Q000235:genetics*; D006801:Humans; D008969:Molecular Sequence Data; D050436:Regulatory Elements, Transcriptional / Q000235:genetics*; D012045:Regulatory Sequences, Nucleic Acid / Q000235:genetics*; D017422:Sequence Analysis, DNA / Q000379:methods; D012984:Software
D004247:DNA