Literature DB >> 3453222

Multiple sequence alignment by a pairwise algorithm.

W R Taylor1.   

Abstract

An algorithm is described that processes the results of a conventional pairwise sequence alignment program to automatically produce an unambiguous multiple alignment of many sequences. Unlike other, more complex, multiple alignment programs, the method described here is fast enough to be used on almost any multiple sequence alignment problem.

Mesh:

Substances:

Year:  1987        PMID: 3453222     DOI: 10.1093/bioinformatics/3.2.81

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


  11 in total

1.  A memory-efficient algorithm for multiple sequence alignment with constraints.

Authors:  Chin Lung Lu; Yen Pin Huang
Journal:  Bioinformatics       Date:  2004-09-16       Impact factor: 6.937

2.  An assessment of substitution scores for protein profile-profile comparison.

Authors:  Xugang Ye; Guoli Wang; Stephen F Altschul
Journal:  Bioinformatics       Date:  2011-10-13       Impact factor: 6.937

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.  Assessing strategies for improved superfamily recognition.

Authors:  Ian Sillitoe; Mark Dibley; James Bray; Sarah Addou; Christine Orengo
Journal:  Protein Sci       Date:  2005-06-03       Impact factor: 6.725

5.  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

6.  Multiple sequence alignment with hierarchical clustering.

Authors:  F Corpet
Journal:  Nucleic Acids Res       Date:  1988-11-25       Impact factor: 16.971

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.  A flexible multiple sequence alignment program.

Authors:  H M Martinez
Journal:  Nucleic Acids Res       Date:  1988-03-11       Impact factor: 16.971

9.  Sequence embedding for fast construction of guide trees for multiple sequence alignment.

Authors:  Gordon Blackshields; Fabian Sievers; Weifeng Shi; Andreas Wilm; Desmond G Higgins
Journal:  Algorithms Mol Biol       Date:  2010-05-14       Impact factor: 1.405

10.  Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures.

Authors:  Vadim Alexandrov; Mark Gerstein
Journal:  BMC Bioinformatics       Date:  2004-01-09       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.