Skip Navigation


Bioinformatics Advance Access originally published online on September 5, 2006
Bioinformatics 2006 22(22):2715-2721; doi:10.1093/bioinformatics/btl472
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
22/22/2715    most recent
btl472v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 arrow Search for citing articles in:
ISI Web of Science (10)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Roshan, U.
Right arrow Articles by Livesay, D. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Roshan, U.
Right arrow Articles by Livesay, D. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Probalign: multiple sequence alignment using partition function posterior probabilities

Usman Roshan 1,* and Dennis R. Livesay 2

1 Department of Computer Science, New Jersey Institute of Technology GITC 4400, University Heights, NJ 07102, USA
2 Department of Computer Science and Bioinformatics Research Center, University of North Carolina at Charlotte 9201 University City Blvd, Charlotte, NC 28223, USA

*To whom correspondence should be addressed.

Motivation: The maximum expected accuracy optimization criterion for multiple sequence alignment uses pairwise posterior probabilities of residues to align sequences. The partition function methodology is one way of estimating these probabilities. Here, we combine these two ideas for the first time to construct maximal expected accuracy sequence alignments.

Results: We bridge the two techniques within the program Probalign. Our results indicate that Probalign alignments are generally more accurate than other leading multiple sequence alignment methods (i.e. Probcons, MAFFT and MUSCLE) on the BAliBASE 3.0 protein alignment benchmark. Similarly, Probalign also outperforms these methods on the HOMSTRAD and OXBENCH benchmarks. Probalign ranks statistically highest (P-value < 0.005) on all three benchmarks. Deeper scrutiny of the technique indicates that the improvements are largest on datasets containing N/C-terminal extensions and on datasets containing long and heterogeneous length proteins. These points are demonstrated on both real and simulated data. Finally, our method also produces accurate alignments on long and heterogeneous length datasets containing protein repeats. Here, alignment accuracy scores are at least 10% and 15% higher than the other three methods when standard deviation of length is >300 and 400, respectively.

Availability: Open source code implementing Probalign as well as for producing the simulated data, and all real and simulated data are freely available from http://www.cs.njit.edu/usman/probalign

Contact: usman{at}cs.njit.edu


Received on July 27, 2006; revised on July 29, 2006; accepted on September 1, 2006

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


This article has been cited by other articles:


Home page
Genome ResHome page
T. Lefebure and M. J. Stanhope
Pervasive, genome-wide positive selection leading to functional divergence in the bacterial genus Campylobacter
Genome Res., July 1, 2009; 19(7): 1224 - 1232.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
M. Hamada, K. Sato, H. Kiryu, T. Mituyama, and K. Asai
Predictions of RNA secondary structure by combining homologous sequence information
Bioinformatics, June 15, 2009; 25(12): i330 - i338.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
Y. Lu and S.-H. Sze
Improving accuracy of multiple sequence alignment algorithms based on alignment of neighboring residues
Nucleic Acids Res., February 1, 2009; 37(2): 463 - 472.
[Abstract] [Full Text] [PDF]


Home page
Brief BioinformHome page
K. Katoh and H. Toh
Recent developments in the MAFFT multiple sequence alignment program
Brief Bioinform, July 1, 2008; 9(4): 286 - 298.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
G. Lunter, A. Rocco, N. Mimouni, A. Heger, A. Caldeira, and J. Hein
Uncertainty in homology inferences: Assessing and improving genomic sequence alignment
Genome Res., February 1, 2008; 18(2): 298 - 309.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
S. Chikkagoudar, U. Roshan, and D. Livesay
eProbalign: generation and manipulation of multiple sequence alignments using partition function posterior probabilities
Nucleic Acids Res., July 13, 2007; 35(suppl_2): W675 - W677.
[Abstract] [Full Text] [PDF]



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.