Skip Navigation


Bioinformatics Advance Access originally published online on April 10, 2008
Bioinformatics 2008 24(11):1339-1343; doi:10.1093/bioinformatics/btn130
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow All Versions of this Article:
24/11/1339    most recent
btn130v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Lee, M. M.
Right arrow Articles by Bundschuh, R.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, M. M.
Right arrow Articles by Bundschuh, R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Simple is beautiful: a straightforward approach to improve the delineation of true and false positives in PSI-BLAST searches

Marianne M. Lee 1, Michael K. Chan 1,2,* and Ralf Bundschuh 1,3,*

1The Ohio State Biophysics Program, 2Departments of Biochemistry and Chemistry, Ohio State University, 484 W 12th Av. and 3Department of Physics, Ohio State University, 191 W Woodruff Av., Columbus OH 43210-1117, USA

*To whom correspondence should be addressed.


   Abstract

Motivation: The deluge of biological information from different genomic initiatives and the rapid advancement in biotechnologies have made bioinformatics tools an integral part of modern biology. Among the widely used sequence alignment tools, BLAST and PSI-BLAST are arguably the most popular. PSI-BLAST, which uses an iterative profile position specific score matrix (PSSM)-based search strategy, is more sensitive than BLAST in detecting weak homologies, thus making it suitable for remote homolog detection. Many refinements have been made to improve PSI-BLAST, and its computational efficiency and high specificity have been much touted. Nevertheless, corruption of its profile via the incorporation of false positive sequences remains a major challenge.

Results: We have developed a simple and elegant approach to resolve the problem of model corruption in PSI-BLAST searches. We hypothesized that combining results from the first (least-corrupted) profile with results from later (most sensitive) iterations of PSI-BLAST provides a better discriminator for true and false hits. Accordingly, we have derived a formula that utilizes the E-values from these two PSI-BLAST iterations to obtain a figure of merit for rank-ordering the hits. Our verification results based on a ‘gold-standard’ test set indicate that this figure of merit does indeed delineate true positives from false positives better than PSI-BLAST E-values. Perhaps what is most notable about this strategy is that it is simple and straightforward to implement.

Contact: bundschuh{at}mps.ohio-state.edu

Associate Editor: Thomas Lengauer


Received on January 5, 2008; revised on February 28, 2008; accepted on April 7, 2008

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.