Literature DB >> 10786309

An exact method for finding short motifs in sequences, with application to the ribosome binding site problem.

M Tompa1.   

Abstract

This is an investigation of methods for finding short motifs that only occur in a fraction of the input sequences. Unlike local search techniques that may not reach a global optimum, the method proposed here is guaranteed to produce the motifs with greatest z-scores. This method is illustrated for the Ribosome Binding Site Problem, which is to identify the short mRNA 5' untranslated sequence that is recognized by the ribosome during initiation of protein synthesis. Experiments were performed to solve this problem for each of fourteen sequenced prokaryotes, by applying the method to the full complement of genes from each. One of the interesting results of this experimentation is evidence that the recognized sequence of the thermophilic archaea A. fulgidus, M. jannaschii, M. thermoautotrophicum, and P. horikoshii may be somewhat different than the well known Shine-Dalgarno sequence.

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Year:  1999        PMID: 10786309

Source DB:  PubMed          Journal:  Proc Int Conf Intell Syst Mol Biol        ISSN: 1553-0833


  23 in total

1.  GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions.

Authors:  J Besemer; A Lomsadze; M Borodovsky
Journal:  Nucleic Acids Res       Date:  2001-06-15       Impact factor: 16.971

Review 2.  Computational gene finding in plants.

Authors:  Mihaela Pertea; Steven L Salzberg
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

3.  Discovery of sequence motifs related to coexpression of genes using evolutionary computation.

Authors:  Gary B Fogel; Dana G Weekes; Gabor Varga; Ernst R Dow; Harry B Harlow; Jude E Onyia; Chen Su
Journal:  Nucleic Acids Res       Date:  2004-07-20       Impact factor: 16.971

4.  Recent computational approaches to understand gene regulation: mining gene regulation in silico.

Authors:  I Abnizova; T Subhankulova; Wr Gilks
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

5.  PMS5: an efficient exact algorithm for the (ℓ, d)-motif finding problem.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Vamsi K Kundeti
Journal:  BMC Bioinformatics       Date:  2011-10-24       Impact factor: 3.169

6.  Discovery of novel transcription factor binding sites by statistical overrepresentation.

Authors:  Saurabh Sinha; Martin Tompa
Journal:  Nucleic Acids Res       Date:  2002-12-15       Impact factor: 16.971

Review 7.  Integrating sequence, evolution and functional genomics in regulatory genomics.

Authors:  Martin Vingron; Alvis Brazma; Richard Coulson; Jacques van Helden; Thomas Manke; Kimmo Palin; Olivier Sand; Esko Ukkonen
Journal:  Genome Biol       Date:  2009-01-30       Impact factor: 13.583

8.  qPMS7: a fast algorithm for finding (ℓ, d)-motifs in DNA and protein sequences.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Jaime Davila
Journal:  PLoS One       Date:  2012-07-24       Impact factor: 3.240

9.  A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs.

Authors:  Phillip Seitzer; Elizabeth G Wilbanks; David J Larsen; Marc T Facciotti
Journal:  BMC Bioinformatics       Date:  2012-11-27       Impact factor: 3.169

10.  A hybrid method for the exact planted (l, d) motif finding problem and its parallelization.

Authors:  Mostafa M Abbas; Mohamed Abouelhoda; Hazem M Bahig
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

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