Literature DB >> 8054893

Parametric and ensemble sequence alignment algorithms.

M S Waterman1.   

Abstract

Recently algorithms for parametric alignment (Waterman et al., 1992, Natl Acad. Sci. USA 89, 6090-6093; Gusfield et al., 1992, Proceedings of the Third Annual ACM-SIAM Discrete Algorithms) find optimal scores for all penalty parameters, both for global and local sequence alignment. This paper reviews those techniques. Then in the main part of this paper dynamic programming methods are used to compute ensemble alignment, finding all alignment scores for all parameters. Both global and local ensemble alignments are studied, and parametric alignment is used to compute near optimal ensemble alignments.

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Year:  1994        PMID: 8054893     DOI: 10.1007/bf02460719

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


  9 in total

Review 1.  Determination of reliable regions in protein sequence alignments.

Authors:  M Vingron; P Argos
Journal:  Protein Eng       Date:  1990-07

Review 2.  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

3.  Parametric sequence comparisons.

Authors:  M S Waterman; M Eggert; E Lander
Journal:  Proc Natl Acad Sci U S A       Date:  1992-07-01       Impact factor: 11.205

4.  Sequence alignments in the neighborhood of the optimum with general application to dynamic programming.

Authors:  M S Waterman
Journal:  Proc Natl Acad Sci U S A       Date:  1983-05       Impact factor: 11.205

5.  The equilibrium partition function and base pair binding probabilities for RNA secondary structure.

Authors:  J S McCaskill
Journal:  Biopolymers       Date:  1990 May-Jun       Impact factor: 2.505

6.  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

7.  Computation of biopolymers: a general approach to different problems.

Authors:  A V Finkelstein; M A Roytberg
Journal:  Biosystems       Date:  1993       Impact factor: 1.973

8.  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

9.  Rapid and accurate estimates of statistical significance for sequence data base searches.

Authors:  M S Waterman; M Vingron
Journal:  Proc Natl Acad Sci U S A       Date:  1994-05-24       Impact factor: 11.205

  9 in total
  2 in total

1.  Homology modeling using parametric alignment ensemble generation with consensus and energy-based model selection.

Authors:  Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2006-09-13       Impact factor: 16.971

2.  How reliably can we predict the reliability of protein structure predictions?

Authors:  István Miklós; Adám Novák; Balázs Dombai; Jotun Hein
Journal:  BMC Bioinformatics       Date:  2008-03-03       Impact factor: 3.169

  2 in total

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