Literature DB >> 9927712

SALSA: improved protein database searching by a new algorithm for assembly of sequence fragments into gapped alignments.

T Rognes1, E Seeberg.   

Abstract

MOTIVATION: Optimal sequence alignment based on the Smith-Waterman algorithm is usually too computationally demanding to be practical for searching large sequence databases. Heuristic programs like FASTA and BLAST have been developed which run much faster, but at the expense of sensitivity.
RESULTS: In an effort to approximate the sensitivity of an optimal alignment algorithm, a new algorithm has been devised for the computation of a gapped alignment of two sequences. After scanning for high-scoring words and extensions of these to form fragments of similarity, the algorithm uses dynamic programming to build an accurate alignment based on the fragments initially identified. The algorithm has been implemented in a program called SALSA and the performance has been evaluated on a set of test sequences. The sensitivity was found to be close to the Smith-Waterman algorithm, while the speed was similar to FASTA (ktup = 2). AVAILABILITY: Searches can be performed from the SALSA homepage at http://dna.uio.no/salsa/ using a wide range of databases. Source code and precompiled executables are also available. CONTACT: torbjorn.rognes@labmed.uio.no

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Year:  1998        PMID: 9927712     DOI: 10.1093/bioinformatics/14.10.839

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


  4 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

2.  Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding.

Authors:  Yoojin Hong; Jaewoo Kang; Dongwon Lee; Damian B van Rossum
Journal:  PLoS One       Date:  2010-10-22       Impact factor: 3.240

3.  FLEXIQuant: a novel tool for the absolute quantification of proteins, and the simultaneous identification and quantification of potentially modified peptides.

Authors:  Sasha Singh; Michael Springer; Judith Steen; Marc W Kirschner; Hanno Steen
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

4.  A new protein superfamily includes two novel 3-methyladenine DNA glycosylases from Bacillus cereus, AlkC and AlkD.

Authors:  Ingrun Alseth; Torbjørn Rognes; Toril Lindbäck; Inger Solberg; Kristin Robertsen; Knut Ivan Kristiansen; Davide Mainieri; Lucy Lillehagen; Anne-Brit Kolstø; Magnar Bjørås
Journal:  Mol Microbiol       Date:  2006-03       Impact factor: 3.501

  4 in total

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