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Identification of protein coding genes in genomes with statistical functions based on the circular code

Arquès, Didier and Lacan, Jérôme and Michel, Christian Identification of protein coding genes in genomes with statistical functions based on the circular code. (2002) BioSystems, vol. 6 (n° 1-2). pp. 73-92. ISSN 0303-2647

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Official URL: http://dx.doi.org/10.1016/S0303-2647(02)00039-4

Abstract

A new statistical approach using functions based on the circular code classifies correctly more than 93 % of bases in protein (coding) genes and non-coding genes of human sequences. Based on this statistical study, a research software called "Analysis of Coding Genes" (ACG) has been developed for identifying protein genes in the genomes and for determining their frame. Furthermore, the software ACG also allows an evaluation of the length of protein genes, their position in the genome, their relative position between themselves, and the prediction of internal frames in protein genes.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com The original PDF of the article can be found at BioSystems website : http://www.sciencedirect.com/science/journal/03032647
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Université Paris-Est Marne-La-Vallée - UPEMLV (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE
Other partners > Université Louis Pasteur-Strasbourg I - ULP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS
Laboratory name:
Statistics:download
Deposited By: Jérôme Lacan

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