Literature DB >> 6748696

Efficient sequence alignment algorithms.

M S Waterman.   

Abstract

Sequence alignments are becoming more important with the increase of nucleic acid data. Fitch and Smith have recently given an example where multiple insertion/deletions (rather than a series of adjacent single insertion/deletions) are necessary to achieve the correct alignment. Multiple insertion/deletions are known to increase computation time from O(n2) to O(n3) although Gotoh has presented an O(n2) algorithm in the case the multiple insertion/deletion weighting function is linear. It is argued in this paper that it could be desirable to use concave weighting functions. For that case, an algorithm is derived that is conjectured to be O(n2).

Entities:  

Mesh:

Year:  1984        PMID: 6748696     DOI: 10.1016/s0022-5193(84)80037-5

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  18 in total

1.  Fast algorithms for large-scale genome alignment and comparison.

Authors:  Arthur L Delcher; Adam Phillippy; Jane Carlton; Steven L Salzberg
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

2.  An O (N2 log N) restriction map comparison and search algorithm.

Authors:  E W Myers; X Huang
Journal:  Bull Math Biol       Date:  1992-07       Impact factor: 1.758

3.  A survey of multiple sequence comparison methods.

Authors:  S C Chan; A K Wong; D K Chiu
Journal:  Bull Math Biol       Date:  1992-07       Impact factor: 1.758

4.  Consistency of optimal sequence alignments.

Authors:  O Gotoh
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

5.  Ngila: global pairwise alignments with logarithmic and affine gap costs.

Authors:  Reed A Cartwright
Journal:  Bioinformatics       Date:  2007-03-25       Impact factor: 6.937

6.  Minimum message length encoding and the comparison of macromolecules.

Authors:  L Allison; C N Yee
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

7.  Automatic generation of primary sequence patterns from sets of related protein sequences.

Authors:  R F Smith; T F Smith
Journal:  Proc Natl Acad Sci U S A       Date:  1990-01       Impact factor: 11.205

8.  Optimal sequence alignment allowing for long gaps.

Authors:  O Gotoh
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

9.  Locally optimal subalignments using nonlinear similarity functions.

Authors:  S F Altschul; B W Erickson
Journal:  Bull Math Biol       Date:  1986       Impact factor: 1.758

10.  A basic analysis toolkit for biological sequences.

Authors:  Raffaele Giancarlo; Alessandro Siragusa; Enrico Siragusa; Filippo Utro
Journal:  Algorithms Mol Biol       Date:  2007-09-18       Impact factor: 1.405

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