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Simulation-based estimation of branching models for LTR retrotransposons.
Moulin, Serge; Seux, Nicolas; Chrétien, Stéphane; Guyeux, Christophe; Lerat, Emmanuelle.
Afiliação
  • Moulin S; Département d'Informatique des Systèmes Complexes, FEMTO-ST Institute, UMR 6174 CNRS, Université de Bourgogne Franche-Comté, Besançon, France.
  • Seux N; Laboratoire de Mathématiques de Besançon, UMR 6623 CNRS, Université de Bourgogne Franche-Comté, Besançon, France.
  • Chrétien S; National Physical Laboratory, Teddington, UK.
  • Guyeux C; Département d'Informatique des Systèmes Complexes, FEMTO-ST Institute, UMR 6174 CNRS, Université de Bourgogne Franche-Comté, Besançon, France.
  • Lerat E; Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5558, Laboratoire Biométrie et Biologie Evolutive, Villeurbanne, France.
Bioinformatics ; 33(3): 320-326, 2017 02 01.
Article em En | MEDLINE | ID: mdl-28011770
ABSTRACT
Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level.

Results:

Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation model. We applied this method to the study of the spread of the transposable elements ROO, GYPSY and DM412 on a chromosome of Drosophila melanogaster . Availability and Implementation Our proposal has been implemented using Python software. Source code is freely available on the web at https//github.com/SergeMOULIN/retrotransposons-spread . Contact serge.moulin@univ-fcomte.fr. Supplementary information are available at Bioinformatics online.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Retroelementos / Drosophila melanogaster / Modelos Genéticos Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Retroelementos / Drosophila melanogaster / Modelos Genéticos Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França