Literature DB >> 2849754

Multiple sequence alignment with hierarchical clustering.

F Corpet1.   

Abstract

An algorithm is presented for the multiple alignment of sequences, either proteins or nucleic acids, that is both accurate and easy to use on microcomputers. The approach is based on the conventional dynamic-programming method of pairwise alignment. Initially, a hierarchical clustering of the sequences is performed using the matrix of the pairwise alignment scores. The closest sequences are aligned creating groups of aligned sequences. Then close groups are aligned until all sequences are aligned in one group. The pairwise alignments included in the multiple alignment form a new matrix that is used to produce a hierarchical clustering. If it is different from the first one, iteration of the process can be performed. The method is illustrated by an example: a global alignment of 39 sequences of cytochrome c.

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Year:  1988        PMID: 2849754      PMCID: PMC338945          DOI: 10.1093/nar/16.22.10881

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  15 in total

1.  Rapid and sensitive protein similarity searches.

Authors:  D J Lipman; W R Pearson
Journal:  Science       Date:  1985-03-22       Impact factor: 47.728

2.  MULTAN: a program to align multiple DNA sequences.

Authors:  W Bains
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

3.  A strategy for the rapid multiple alignment of protein sequences. Confidence levels from tertiary structure comparisons.

Authors:  G J Barton; M J Sternberg
Journal:  J Mol Biol       Date:  1987-11-20       Impact factor: 5.469

4.  Evaluation and improvements in the automatic alignment of protein sequences.

Authors:  G J Barton; M J Sternberg
Journal:  Protein Eng       Date:  1987 Feb-Mar

5.  Profile analysis: detection of distantly related proteins.

Authors:  M Gribskov; A D McLachlan; D Eisenberg
Journal:  Proc Natl Acad Sci U S A       Date:  1987-07       Impact factor: 11.205

6.  A multiple sequence alignment program.

Authors:  E Sobel; H M Martinez
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

7.  Multiple sequence alignment.

Authors:  D J Bacon; W F Anderson
Journal:  J Mol Biol       Date:  1986-09-20       Impact factor: 5.469

8.  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

9.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

10.  Progressive sequence alignment as a prerequisite to correct phylogenetic trees.

Authors:  D F Feng; R F Doolittle
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

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