Literature DB >> 3795999

Alignment of three biological sequences with an efficient traceback procedure.

O Gotoh.   

Abstract

The major algorithms currently used for aligning biological sequences are those based on dynamic programming method. A dynamic programming algorithm consists of two major procedures, forward and traceback routines. This paper describes a dynamic programming algorithm for aligning three sequences at a time. Deletions and insertions are penalized according to their numbers and lengths. A forward process is accomplished in O(L3) computational steps, where L is the average sequence length. On the other hand, a traceback process is done in T steps, where T is the number of elementary configurations involved in the optimal alignment (usually T much less than L). The traceback procedure uses an effective technique for memory management, which is applicable to a wide range of sequence-matching methods.

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Year:  1986        PMID: 3795999     DOI: 10.1016/s0022-5193(86)80112-6

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


  15 in total

1.  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

2.  Consistency of optimal sequence alignments.

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

3.  A multiple sequence comparison method.

Authors:  A K Wong; S C Chan; D K Chiu
Journal:  Bull Math Biol       Date:  1993-03       Impact factor: 1.758

4.  Optimal sequence alignment allowing for long gaps.

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

5.  A tool for multiple sequence alignment.

Authors:  D J Lipman; S F Altschul; J D Kececioglu
Journal:  Proc Natl Acad Sci U S A       Date:  1989-06       Impact factor: 11.205

6.  Sequence comparison with concave weighting functions.

Authors:  W Miller; E W Myers
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

7.  A flexible method to align large numbers of biological sequences.

Authors:  W R Taylor
Journal:  J Mol Evol       Date:  1988 Dec-1989 Feb       Impact factor: 2.395

8.  Algebraic Dynamic Programming over general data structures.

Authors:  Christian Höner zu Siederdissen; Sonja J Prohaska; Peter F Stadler
Journal:  BMC Bioinformatics       Date:  2015-12-16       Impact factor: 3.169

9.  Circumsporozoite protein genes of malaria parasites (Plasmodium spp.): evidence for positive selection on immunogenic regions.

Authors:  A L Hughes
Journal:  Genetics       Date:  1991-02       Impact factor: 4.562

10.  MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.

Authors:  Peter W Collingridge; Steven Kelly
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

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