Literature DB >> 7804871

Further improvement in methods of group-to-group sequence alignment with generalized profile operations.

O Gotoh1.   

Abstract

It has previously been shown that rigorous optimization of alignment between two groups of sequences in the sense of minimal sum of pairs (SP) score with a linear gap-weighting function can be achieved by an extended version of the dynamic programming algorithm. The major drawback of this algorithm was that the computation time grows in proportion to the product of the numbers (M and N) of sequences comprising the two groups. A new algorithm presented in this paper achieves the same rigorous alignment in a time complexity much less dependent on the sizes of the groups. Examinations with many groups of sequences indicated that the new algorithm runs faster than the earlier one when M x N > 6-10, approximately 10 times faster when M x N approximately 200, and > 100 times faster when M x N > 2500. This computational acceleration facilitates application of the algorithm to alignment of large groups, especially in the framework of iterative refinement strategies.

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Year:  1994        PMID: 7804871     DOI: 10.1093/bioinformatics/10.4.379

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  6 in total

1.  Randomized and parallel algorithms for distance matrix calculations in multiple sequence alignment.

Authors:  Sanguthevar Rajasekaran; Vishal Thapar; Hardik Dave; Chun-Hsi Huang
Journal:  J Clin Monit Comput       Date:  2005-10       Impact factor: 1.977

2.  Protein multiple sequence alignment by hybrid bio-inspired algorithms.

Authors:  Vincenzo Cutello; Giuseppe Nicosia; Mario Pavone; Igor Prizzi
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

3.  Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise linear gap cost.

Authors:  Shinsuke Yamada; Osamu Gotoh; Hayato Yamana
Journal:  BMC Bioinformatics       Date:  2006-12-01       Impact factor: 3.169

4.  Assessment and refinement of eukaryotic gene structure prediction with gene-structure-aware multiple protein sequence alignment.

Authors:  Osamu Gotoh; Mariko Morita; David R Nelson
Journal:  BMC Bioinformatics       Date:  2014-06-14       Impact factor: 3.169

5.  OXBench: a benchmark for evaluation of protein multiple sequence alignment accuracy.

Authors:  G P S Raghava; Stephen M J Searle; Patrick C Audley; Jonathan D Barber; Geoffrey J Barton
Journal:  BMC Bioinformatics       Date:  2003-10-10       Impact factor: 3.169

6.  Profile-profile comparisons by COMPASS predict intricate homologies between protein families.

Authors:  Ruslan I Sadreyev; David Baker; Nick V Grishin
Journal:  Protein Sci       Date:  2003-10       Impact factor: 6.725

  6 in total

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