Journal Papers A performance enhanced PSI-BLAST based on hybrid alignment.


Abstract

MOTIVATION: Sequence alignment is one of the most popular tools of modern biology. NCBI's PSI-BLAST utilizes iterative model building in order to better detect distant homologs with greater sensitivity than non-iterative BLAST. However, PSI-BLAST's performance is limited by the fact that it relies on deterministic alignments. Using a semi-probabilistic alignment scheme such as Hybrid alignment should allow for better informed model building and improved identification of homologous sequences, particularly remote homologs. RESULTS: We have built a new version of the tool in which the Smith-Waterman alignment algorithm core is replaced by the hybrid alignment algorithm. The favorable statistical properties of the hybrid algorithm allow the introduction of position-specific gap penalties in Hybrid PSI-BLAST. This improves the position-specific modeling of protein families and results in an overall improvement of performance.



Paper Details

Authors

Y. Li,  N. Chia,  M. Lauria,  R. Bundschuh

Publication

Bioinformatics, 27, , 31-37

Download

http://bioinformatics.oxfordjournals.org/content/27/1/31.long

Language

English
.