Document Detail


Cache-oblivious dynamic programming for bioinformatics.
MedLine Citation:
PMID:  20671320     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present efficient cache-oblivious algorithms for some well-studied string problems in bioinformatics including the longest common subsequence, global pairwise sequence alignment and three-way sequence alignment (or median), both with affine gap costs, and RNA secondary structure prediction with simple pseudoknots. For each of these problems, we present cache-oblivious algorithms that match the best-known time complexity, match or improve the best-known space complexity, and improve significantly over the cache-efficiency of earlier algorithms. We present experimental results which show that our cache-oblivious algorithms run faster than software and implementations based on previous best algorithms for these problems.
Authors:
Rezaul Alam Chowdhury; Hai-Son Le; Vijaya Ramachandran
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM     Volume:  7     ISSN:  1557-9964     ISO Abbreviation:  IEEE/ACM Trans Comput Biol Bioinform     Publication Date:    2010 Jul-Sep
Date Detail:
Created Date:  2010-07-30     Completed Date:  2010-12-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101196755     Medline TA:  IEEE/ACM Trans Comput Biol Bioinform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  495-510     Citation Subset:  IM    
Affiliation:
Center for Computational Visualization, Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712-0027, USA. shaikat@cs.utexas.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Base Pairing
Base Sequence
Computational Biology / methods*
Nucleic Acid Conformation
RNA / chemistry*
Sequence Alignment / methods*
Software*
Chemical
Reg. No./Substance:
63231-63-0/RNA

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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