Literature DB >> 12614545

Occurrence probability of structured motifs in random sequences.

S Robin1, J-J Daudin, H Richard, M-F Sagot, S Schbath.   

Abstract

The problem of extracting from a set of nucleic acid sequences motifs which may have biological function is more and more important. In this paper, we are interested in particular motifs that may be implicated in the transcription process. These motifs, called structured motifs, are composed of two ordered parts separated by a variable distance and allowing for substitutions. In order to assess their statistical significance, we propose approximations of the probability of occurrences of such a structured motif in a given sequence. An application of our method to evaluate candidate promoters in E. coli and B. subtilis is presented. Simulations show the goodness of the approximations.

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Year:  2002        PMID: 12614545     DOI: 10.1089/10665270260518254

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  9 in total

1.  A motif co-occurrence approach for genome-wide prediction of transcription-factor-binding sites in Escherichia coli.

Authors:  Martha L Bulyk; Abigail M McGuire; Nobuhisa Masuda; George M Church
Journal:  Genome Res       Date:  2004-02       Impact factor: 9.043

2.  Importance sampling of word patterns in DNA and protein sequences.

Authors:  Hock Peng Chan; Nancy Ruonan Zhang; Louis H Y Chen
Journal:  J Comput Biol       Date:  2010-12       Impact factor: 1.479

3.  Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics.

Authors:  Grégory Nuel
Journal:  Algorithms Mol Biol       Date:  2006-04-07       Impact factor: 1.405

4.  BIPAD: a web server for modeling bipartite sequence elements.

Authors:  Chengpeng Bi; Peter K Rogan
Journal:  BMC Bioinformatics       Date:  2006-02-17       Impact factor: 3.169

5.  Flexible promoter architecture requirements for coactivator recruitment.

Authors:  Derek Y Chiang; David A Nix; Ryan K Shultzaberger; Audrey P Gasch; Michael B Eisen
Journal:  BMC Mol Biol       Date:  2006-04-28       Impact factor: 2.946

6.  False occurrences of functional motifs in protein sequences highlight evolutionary constraints.

Authors:  Allegra Via; Pier Federico Gherardini; Enrico Ferraro; Gabriele Ausiello; Gianpaolo Scalia Tomba; Manuela Helmer-Citterich
Journal:  BMC Bioinformatics       Date:  2007-03-01       Impact factor: 3.169

7.  Stem-loop structures in prokaryotic genomes.

Authors:  Mauro Petrillo; Giustina Silvestro; Pier Paolo Di Nocera; Angelo Boccia; Giovanni Paolella
Journal:  BMC Genomics       Date:  2006-07-04       Impact factor: 3.969

8.  Unsupervised statistical discovery of spaced motifs in prokaryotic genomes.

Authors:  Hao Tong; Paul Schliekelman; Jan Mrázek
Journal:  BMC Genomics       Date:  2017-01-05       Impact factor: 3.969

9.  An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance.

Authors:  Ana C Casimiro; Susana Vinga; Ana T Freitas; Arlindo L Oliveira
Journal:  BMC Bioinformatics       Date:  2008-02-07       Impact factor: 3.169

  9 in total

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