Skip to Main content Skip to Navigation

Modélisation statistique et formelle de la régulation de l'épissage alternatif

Abstract : Recent experimental studies have shown the main effects of the SR proteins on the alternative splicing regulation. They regulate the process by bound on immature RNA specific sites. Nevertheless, an experimental identification of this regulatory sites remains difficult. To overcome this shortcoming, our approach is based on both modelling technics: statistical and formal. First, using SELEX data, we statisticaly identified the regulatory sites in order to second discover these sites on the HIV-1 genome. Our discovery method combine statistical learning approach and discrete algorithmic tools. Thus, we consider the fonction of these sites by modelling the regulatory effects using hybrid constraints programming (hcc) on splicing site. First, we consider the single site regulation to represent in a second step a model for several splicing sites concerning HIV-1. Finaly, this integrative modeling approach allows to formalizing the splicing effects on the HIV-1 cell cycle.
Complete list of metadata

Cited literature [208 references]  Display  Hide  Download
Contributor : Thèses UL Connect in order to contact the contributor
Submitted on : Friday, March 30, 2018 - 9:48:36 AM
Last modification on : Wednesday, February 2, 2022 - 11:54:24 AM


Files produced by the author(s)


  • HAL Id : tel-01754419, version 1



Damien Eveillard. Modélisation statistique et formelle de la régulation de l'épissage alternatif. Biologie moléculaire. Université Henri Poincaré - Nancy 1, 2004. Français. ⟨NNT : 2004NAN10037⟩. ⟨tel-01754419⟩



Record views


Files downloads