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Développement d'une approche markovienne pour l'analyse de l'organisation spatiale des génomes.

Christelle Melo de Lima 1
1 HELIX - Computer science and genomics
Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
Abstract : Large scale sequencing has given access to many complete genomes. Hidden Markov models are one of the most used statistical methods for the analysis of genomics sequences. The objective of this work is to contribute to the analysis and comprehension of the evolution of genomes. A method for predicting isochores adapted to the human genome was developed. The originality of this approach consists in identifying breaks of homogeneity in the sequences. It also consists in identifying their biological impact, such as the UTRs influence may have on the classification of genes in an isochore. This method was then applied to the genome of the tetraodon, when we discovered the existence of a new mosaic structure.
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Submitted on : Thursday, February 23, 2006 - 2:10:33 PM
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Christelle Melo de Lima. Développement d'une approche markovienne pour l'analyse de l'organisation spatiale des génomes.. Modélisation et simulation. Université Claude Bernard - Lyon I, 2005. Français. ⟨tel-00011674⟩

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