title: A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data.
abstract: ChIP-Seq (chromatin immunoprecipitation sequencing) has provided the advantage for finding motifs as ChIP-Seq experiments narrow down the motif finding to binding site locations. Recent motif finding tools facilitate the motif detection by providing user-friendly Web interface. In this work, we reviewed nine motif finding Web tools that are capable for detecting binding site motifs in ChIP-Seq data. We showed each motif finding Web tool has its own advantages for detecting motifs that other tools may not discover. We recommended the users to use multiple motif finding Web tools that implement different algorithms for obtaining significant motifs, overlapping resemble motifs, and non-overlapping motifs. Finally, we provided our suggestions for future development of motif finding Web tool that better assists researchers for finding motifs in ChIP-Seq data.
authors.affiliation: Department of Computer Science and Engineering, University of Connecticut, 371 Fairfield Way, Unit 4155, Storrs, CT 06269, USA. ntt10001@engr.uconn.edu.
authors.forename: Ngoc Tam L
authors.initials: NT
authors.lastname: Tran
authors.forename: Chun-Hsi
authors.initials: CH
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D047369:Chromatin Immunoprecipitation / Q000379:methods*; D004247:DNA / Q000737:chemistry / Q000378:metabolism; D011485:Protein Binding; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D004247:DNA