Home LiteratureArticle Details
PMID: 8521275 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Improving the practical space and time efficiency of the shortest-paths approach to sum-of-pairs multiple sequence alignment.

Gupta SK, Kececioglu JD, Schäffer AA

Abstract

The MSA program, written and distributed in 1989, is one of the few existing programs that attempts to find optimal alignments of multiple protein or DNA sequences. The MSA program implements a branch-and-bound technique together with a variant of Dijkstra's shortest paths algorithm to prune the basic dynamic programming graph. We have made substantial improvements in the time and space usage of MSA. The improvements make feasible a variety of problem instances that were not feasible previously. On some runs we achieve an order of magnitude reduction in space usage and a significant multiplicative factor speedup in running time. To explain how these improvements work, we give a much more detailed description of MSA than has been previously available. In practice, MSA rarely produces a provably optimal alignment and we explain why.

MeSH Terms
Algorithms Amino Acid Sequence DNA/genetics Evaluation Studies as Topic Globins/genetics Molecular Sequence Data Proteins/genetics Sequence Alignment/methods,statistics & numerical data Sequence Homology, Amino Acid Software
Chemicals
Proteins Globins DNA
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Gupta S K
Department of Computer Science, Rice University, Houston, TX 77005-1892, USA.
Kececioglu J D
Schäffer A A
Article Info
Journal
Journal of computational biology : a journal of computational molecular cell biology
Abbr.
J Comput Biol
ISSN
1066-5277
Published
1995-00-00
Pages
459-72
Language
English
Region
United States
NLM ID
9433358
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com