Literature DB >> 1697773

Consistency of optimal sequence alignments.

O Gotoh1.   

Abstract

Pairwise optimal alignments between three or more sequences are not necessarily consistent as a whole, but consistent and inconsistent residues are usually distributed in clusters. An efficient method has been developed for locating consistent regions when each pairwise alignment is given in the form of a "skeletal representation" (Bull. math. Biol. 52, 359-373). This method is further extended so that the combination of pairwise alignments that gives the greatest consistency is found when possibly many alignments are equally optimal for each pairwise comparison. A method for acceleration of simultaneous multiple sequence alignment is proposed in which consistent regions serve as "anchor points" limiting application of direct multi-way alignment to the rest of "inconsistent" regions.

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Year:  1990        PMID: 1697773     DOI: 10.1007/bf02462264

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  15 in total

1.  Optimal sequence alignment allowing for long gaps.

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

2.  Atomic structure of thymidylate synthase: target for rational drug design.

Authors:  L W Hardy; J S Finer-Moore; W R Montfort; M O Jones; D V Santi; R M Stroud
Journal:  Science       Date:  1987-01-23       Impact factor: 47.728

3.  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

4.  A multiple alignment program for protein sequences.

Authors:  M Santibánez; K Rohde
Journal:  Comput Appl Biosci       Date:  1987-06

5.  Alignment of three biological sequences with an efficient traceback procedure.

Authors:  O Gotoh
Journal:  J Theor Biol       Date:  1986-08-07       Impact factor: 2.691

6.  Optimal alignments in linear space.

Authors:  E W Myers; W Miller
Journal:  Comput Appl Biosci       Date:  1988-03

7.  Simultaneous comparison of three protein sequences.

Authors:  M Murata; J S Richardson; J L Sussman
Journal:  Proc Natl Acad Sci U S A       Date:  1985-05       Impact factor: 11.205

8.  Efficient algorithms for folding and comparing nucleic acid sequences.

Authors:  J P Dumas; J Ninio
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

9.  An improved algorithm for matching biological sequences.

Authors:  O Gotoh
Journal:  J Mol Biol       Date:  1982-12-15       Impact factor: 5.469

10.  Efficient sequence alignment algorithms.

Authors:  M S Waterman
Journal:  J Theor Biol       Date:  1984-06-07       Impact factor: 2.691

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  9 in total

1.  MTRAP: pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of residues.

Authors:  Toshihide Hara; Keiko Sato; Masanori Ohya
Journal:  BMC Bioinformatics       Date:  2010-05-08       Impact factor: 3.169

2.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

Authors:  Chuong B Do; Mahathi S P Mahabhashyam; Michael Brudno; Serafim Batzoglou
Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

3.  A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads.

Authors:  Tobias Rausch; Sergey Koren; Gennady Denisov; David Weese; Anne-Katrin Emde; Andreas Döring; Knut Reinert
Journal:  Bioinformatics       Date:  2009-03-05       Impact factor: 6.937

4.  RAGA: RNA sequence alignment by genetic algorithm.

Authors:  C Notredame; E A O'Brien; D G Higgins
Journal:  Nucleic Acids Res       Date:  1997-11-15       Impact factor: 16.971

5.  LaRA 2: parallel and vectorized program for sequence-structure alignment of RNA sequences.

Authors:  Jörg Winkler; Gianvito Urgese; Elisa Ficarra; Knut Reinert
Journal:  BMC Bioinformatics       Date:  2022-01-06       Impact factor: 3.169

6.  Efficient merging of genome profile alignments.

Authors:  André Hennig; Kay Nieselt
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

Review 7.  Upcoming challenges for multiple sequence alignment methods in the high-throughput era.

Authors:  Carsten Kemena; Cedric Notredame
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

8.  M-Coffee: combining multiple sequence alignment methods with T-Coffee.

Authors:  Iain M Wallace; Orla O'Sullivan; Desmond G Higgins; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2006-03-23       Impact factor: 16.971

9.  The M-Coffee web server: a meta-method for computing multiple sequence alignments by combining alternative alignment methods.

Authors:  Sebastien Moretti; Fabrice Armougom; Iain M Wallace; Desmond G Higgins; Cornelius V Jongeneel; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

  9 in total

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