Literature DB >> 11099256

Six-fold speed-up of Smith-Waterman sequence database searches using parallel processing on common microprocessors.

T Rognes1, E Seeberg.   

Abstract

MOTIVATION: Sequence database searching is among the most important and challenging tasks in bioinformatics. The ultimate choice of sequence-search algorithm is that of Smith-Waterman. However, because of the computationally demanding nature of this method, heuristic programs or special-purpose hardware alternatives have been developed. Increased speed has been obtained at the cost of reduced sensitivity or very expensive hardware.
RESULTS: A fast implementation of the Smith-Waterman sequence-alignment algorithm using Single-Instruction, Multiple-Data (SIMD) technology is presented. This implementation is based on the MultiMedia eXtensions (MMX) and Streaming SIMD Extensions (SSE) technology that is embedded in Intel's latest microprocessors. Similar technology exists also in other modern microprocessors. Six-fold speed-up relative to the fastest previously known Smith-Waterman implementation on the same hardware was achieved by an optimized 8-way parallel processing approach. A speed of more than 150 million cell updates per second was obtained on a single Intel Pentium III 500 MHz microprocessor. This is probably the fastest implementation of this algorithm on a single general-purpose microprocessor described to date.

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Mesh:

Year:  2000        PMID: 11099256     DOI: 10.1093/bioinformatics/16.8.699

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  35 in total

1.  ParAlign: a parallel sequence alignment algorithm for rapid and sensitive database searches.

Authors:  T Rognes
Journal:  Nucleic Acids Res       Date:  2001-04-01       Impact factor: 16.971

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Journal:  Sci Signal       Date:  2008-09-02       Impact factor: 8.192

6.  160-fold acceleration of the Smith-Waterman algorithm using a field programmable gate array (FPGA).

Authors:  Isaac T S Li; Warren Shum; Kevin Truong
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7.  GPU-based cloud service for Smith-Waterman algorithm using frequency distance filtration scheme.

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Journal:  Biomed Res Int       Date:  2013-04-03       Impact factor: 3.411

8.  Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes.

Authors:  Jos Boekhorst; Bas van Breukelen; Albert Heck; Berend Snel
Journal:  Genome Biol       Date:  2008-10-01       Impact factor: 13.583

9.  PLAST: parallel local alignment search tool for database comparison.

Authors:  Van Hoa Nguyen; Dominique Lavenier
Journal:  BMC Bioinformatics       Date:  2009-10-12       Impact factor: 3.169

10.  CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions.

Authors:  Yongchao Liu; Adrianto Wirawan; Bertil Schmidt
Journal:  BMC Bioinformatics       Date:  2013-04-04       Impact factor: 3.169

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