Literature DB >> 3641921

Maximum likelihood alignment of DNA sequences.

M J Bishop, E A Thompson.   

Abstract

The optimal alignment problem for pairs of molecular sequences under a probabilistic model of evolutionary change is equivalent to the problem of estimating the maximum likelihood time required to transform one sequence to the other. When this time has been estimated, various alignments of high posterior probability may be written down. A simple model with two parameters is presented and a method is described by which the likelihood may be computed. Maximum likelihood estimates for some pairs of tRNA genes illustrate the method and allow us to obtain the best alignments under the model.

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Year:  1986        PMID: 3641921     DOI: 10.1016/0022-2836(86)90289-5

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  18 in total

1.  MCALIGN: stochastic alignment of noncoding DNA sequences based on an evolutionary model of sequence evolution.

Authors:  Peter D Keightley; Toby Johnson
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

2.  A stochastic evolutionary model for protein structure alignment and phylogeny.

Authors:  Christopher J Challis; Scott C Schmidler
Journal:  Mol Biol Evol       Date:  2012-06-21       Impact factor: 16.240

Review 3.  Inching toward reality: an improved likelihood model of sequence evolution.

Authors:  J L Thorne; H Kishino; J Felsenstein
Journal:  J Mol Evol       Date:  1992-01       Impact factor: 2.395

4.  An evolutionary model for maximum likelihood alignment of DNA sequences.

Authors:  J L Thorne; H Kishino; J Felsenstein
Journal:  J Mol Evol       Date:  1991-08       Impact factor: 2.395

5.  Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets.

Authors:  Michael Nute; Ehsan Saleh; Tandy Warnow
Journal:  Syst Biol       Date:  2019-05-01       Impact factor: 15.683

6.  BAYESIAN PROTEIN STRUCTURE ALIGNMENT.

Authors:  Abel Rodriguez; Scott C Schmidler
Journal:  Ann Appl Stat       Date:  2014-12-19       Impact factor: 2.083

7.  Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from DNA sequence data, and the branching order in hominoidea.

Authors:  H Kishino; M Hasegawa
Journal:  J Mol Evol       Date:  1989-08       Impact factor: 2.395

8.  The posterior probability distribution of alignments and its application to parameter estimation of evolutionary trees and to optimization of multiple alignments.

Authors:  L Allison; C S Wallace
Journal:  J Mol Evol       Date:  1994-10       Impact factor: 2.395

9.  Regional context in the alignment of biological sequence pairs.

Authors:  Raymond Sammut; Gavin Huttley
Journal:  J Mol Evol       Date:  2010-11-24       Impact factor: 2.395

10.  INDELible: a flexible simulator of biological sequence evolution.

Authors:  William Fletcher; Ziheng Yang
Journal:  Mol Biol Evol       Date:  2009-05-07       Impact factor: 16.240

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