Literature DB >> 10902210

Finite-temperature sequence alignment.

M Kschischo1, M Lässig.   

Abstract

We develop a statistical theory of probabilistic sequence alignments derived from a 'thermodynamic' partition function at finite temperature. Such alignments are a generalization of those obtained from information-theoretic approaches. Finite-temperature statistics can be used to characterize the significance of an alignment and the reliability of its single element pairs.

Mesh：

Year:  2000        PMID： 10902210     DOI： 10.1142/9789814447331_0060

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN： 2335-6928


  4 in total

1.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

Authors:  Chuong B Do; Mahathi S P Mahabhashyam; Michael Brudno; Serafim Batzoglou
Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

2.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

3.  Conotoxin protein classification using free scores of words and support vector machines.

Authors:  Nazar Zaki; Stefan Wolfsheimer; Gregory Nuel; Sawsan Khuri
Journal:  BMC Bioinformatics       Date:  2011-05-29       Impact factor: 3.169

4.  GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima.

Authors:  Kazuhito Shida
Journal:  BMC Bioinformatics       Date:  2006-11-04       Impact factor: 3.169
  4 in total

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