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Eric Disdero

Publications and source records attributed to Eric Disdero.

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LoRTE: Detecting transposon-induced genomic variants using low coverage PacBio long read sequences

MotivationPopulation genomic analysis of transposable elements has greatly benefited from recent advances of sequencing technologies. However, the propensity of transposable elements to nest in highly repeated regions of genomes limits the efficiency of bioinformatic tools when short read sequences technology is used.\n\nResultsLoRTE is the first tool able to use PacBio long read sequences to identify transposon deletions and insertions between a reference genome and genomes of different strains or populations. Tested against Drosophila melanogaster PacBio datasets, LoRTE appears to be a reliable and broadly applicable tools to study the dynamic and evolutionary impact of transposable elements using low coverage, long read sequences.\n\nAvailability and ImplementationLoRTE is available at http://www.egce.cnrs-gif.fr/?p=6422. It is written in Python 2.7 and only requires the NCBI BLAST + package. LoRTE can be used on standard computer with limited RAM resources and reasonable running time even with large datasets.\n\nContactjonathan.filee@ecge.cnrs-gif.fr

Bioinformatics