Literature DB >> 11836228

Physics-based gene identification: proof of concept for Plasmodium falciparum.

Edouard Yeramian1, Serge Bonnefoy, Gordon Langsley.   

Abstract

The ab initio prediction of new genes in eukaryotic genomes represents a difficult task, notably for the identification of complex split genes. A Physics-Based Gene Identification (PBGI) method was formulated recently (Yeramian, Gene, 255, 139-150, 151-168, 2000a,b) to address this problem, taking as a model the Plasmodium falciparum genome. Here, the predictive power of this method is put under experimental test for this genome. The presented results demonstrate the usefulness of the PBGI as a gene-identification tool for P. falciparum, notably for the discovery of new genes with no homology to known genes. Perspectives opened by this new method for other eukaryotic genomes are also mentioned.

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Year:  2002        PMID: 11836228     DOI: 10.1093/bioinformatics/18.1.190

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  GeneFizz: A web tool to compare genetic (coding/non-coding) and physical (helix/coil) segmentations of DNA sequences. Gene discovery and evolutionary perspectives.

Authors:  Edouard Yeramian; Louis Jones
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Applying small-scale DNA signatures as an aid in assembling soybean chromosome sequences.

Authors:  Myron Peto; David M Grant; Randy C Shoemaker; Steven B Cannon
Journal:  Adv Bioinformatics       Date:  2010-08-19

3.  High DNA melting temperature predicts transcription start site location in human and mouse.

Authors:  David G Dineen; Andreas Wilm; Pádraig Cunningham; Desmond G Higgins
Journal:  Nucleic Acids Res       Date:  2009-12       Impact factor: 16.971

4.  A stitch in time: efficient computation of genomic DNA melting bubbles.

Authors:  Eivind Tøstesen
Journal:  Algorithms Mol Biol       Date:  2008-07-17       Impact factor: 1.405

  4 in total

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