Literature DB >> 1591533

A survey of multiple sequence comparison methods.

S C Chan1, A K Wong, D K Chiu.   

Abstract

Multiple sequence comparison refers to the search for similarity in three or more sequences. This article presents a survey of the exhaustive (optimal) and heuristic (possibly sub-optimal) methods developed for the comparison of multiple macromolecular sequences. Emphasis is given to the different approaches of the heuristic methods. Four distance measures derived from information engineering and genetic studies are introduced for the comparison between two alignments of sequences. The use of entropy, which plays a central role in information theory as measures of information, choice and uncertainty, is proposed as a simple measure for the evaluation of the optimality of an alignment in the absence of any a priori knowledge about the structures of the sequences being compared. This article also gives two examples of comparison between alternative alignments of the same set of 5SRNAs as obtained by several different heuristic methods.

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Year:  1992        PMID: 1591533     DOI: 10.1007/bf02459635

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


  65 in total

1.  Gap costs for multiple sequence alignment.

Authors:  S F Altschul
Journal:  J Theor Biol       Date:  1989-06-08       Impact factor: 2.691

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Authors:  M S Johnson; R F Doolittle
Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

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

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

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Authors:  M Gribskov; R Lüthy; D Eisenberg
Journal:  Methods Enzymol       Date:  1990       Impact factor: 1.600

5.  A new method that simultaneously aligns and reconstructs ancestral sequences for any number of homologous sequences, when the phylogeny is given.

Authors:  J Hein
Journal:  Mol Biol Evol       Date:  1989-11       Impact factor: 16.240

6.  Weights for data related by a tree.

Authors:  S F Altschul; R J Carroll; D J Lipman
Journal:  J Mol Biol       Date:  1989-06-20       Impact factor: 5.469

7.  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

8.  Generalized structures of the 5S ribosomal RNAs.

Authors:  N Delihas; J Andersen
Journal:  Nucleic Acids Res       Date:  1982-11-25       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.  Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data.

Authors:  M Nei; F Tajima; Y Tateno
Journal:  J Mol Evol       Date:  1983       Impact factor: 2.395

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  6 in total

1.  Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs.

Authors:  Bastien Chevreux; Thomas Pfisterer; Bernd Drescher; Albert J Driesel; Werner E G Müller; Thomas Wetter; Sándor Suhai
Journal:  Genome Res       Date:  2004-05-12       Impact factor: 9.043

2.  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

3.  Fast multiple alignment of ungapped DNA sequences using information theory and a relaxation method.

Authors:  Thomas D Schneider; David N Mastronarde
Journal:  Discrete Appl Math       Date:  1996-12-01       Impact factor: 1.139

4.  Hidden Markov models of biological primary sequence information.

Authors:  P Baldi; Y Chauvin; T Hunkapiller; M A McClure
Journal:  Proc Natl Acad Sci U S A       Date:  1994-02-01       Impact factor: 11.205

5.  Effects of sequence alignment on the phylogeny of Sarcocystis deduced from 18S rDNA sequences.

Authors:  J Ellis; D Morrison
Journal:  Parasitol Res       Date:  1995       Impact factor: 2.289

6.  INDELSCAN: a web server for comparative identification of species-specific and non-species-specific insertion/deletion events.

Authors:  Feng-Chi Chen; Chueng-Jong Chen; Trees-Juen Chuang
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

  6 in total

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