title: PicXAA-Web: a web-based platform for non-progressive maximum expected accuracy alignment of multiple biological sequences.
abstract: In this article, we introduce PicXAA-Web, a web-based platform for accurate probabilistic alignment of multiple biological sequences. The core of PicXAA-Web consists of PicXAA, a multiple protein/DNA sequence alignment algorithm, and PicXAA-R, an extension of PicXAA for structural alignment of RNA sequences. Both PicXAA and PicXAA-R are probabilistic non-progressive alignment algorithms that aim to find the optimal alignment of multiple biological sequences by maximizing the expected accuracy. PicXAA and PicXAA-R greedily build up the alignment from sequence regions with high local similarity, thereby yielding an accurate global alignment that effectively captures local similarities among sequences. PicXAA-Web integrates these two algorithms in a user-friendly web platform for accurate alignment and analysis of multiple protein, DNA and RNA sequences. PicXAA-Web can be freely accessed at http://gsp.tamu.edu/picxaa/.
authors.affiliation: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
authors.forename: Sayed Mohammad Ebrahim
authors.initials: SM
authors.lastname: Sahraeian
authors.forename: Byung-Jun
authors.initials: BJ
authors.lastname: Yoon
mesh_terms: D000465:Algorithms; D020407:Internet; D015203:Reproducibility of Results; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA; D020539:Sequence Analysis, Protein; D017423:Sequence Analysis, RNA; D012984:Software