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Citation
Moulin, S., Seux, N., Chrétien, S., Guyeux, C., Lerat, E. (2017). Simulation-based estimation of branching models for LTR retrotransposons.  Bioinformatics 33(3): 320--326.
FlyBase ID
FBrf0235255
Publication Type
Research paper
Abstract
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. 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 . Our proposal has been implemented using Python software. Source code is freely available on the web at https://github.com/SergeMOULIN/retrotransposons-spread . serge.moulin@univ-fcomte.fr. : are available at Bioinformatics online.
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Bioinformatics
    Title
    Bioinformatics
    Publication Year
    1998-
    ISBN/ISSN
    1367-4803
    Data From Reference
    Natural transposons (3)