From hosts to symbionts: integrated gene prediction for prokaryotic genomes using EuGene - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2012

From hosts to symbionts: integrated gene prediction for prokaryotic genomes using EuGene

Abstract

With the advent of new generation sequencing, the annotation of new prokaryotic (symbiont) genomic sequences increasingly occurs in a data-rich context, including a variety of libraries of short reads of transcriptomic sequences. This creates new opportunities in annotation. In this talk, I will introduce the new prokaryotic variant of the integrative gene prediction software EuGene used for plan annotation. By leveraging RNA-Seq data, EuGene becomes capable of predicting new functional structures, including untranslated transcribed regions such as non protein coding RNA genes.
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Dates and versions

hal-02807348 , version 1 (06-06-2020)

Identifiers

  • HAL Id : hal-02807348 , version 1
  • PRODINRA : 177819

Cite

Erika Sallet, Jerome Gouzy, Brice Roux, Delphine Capela, Laurent Sauviac, et al.. From hosts to symbionts: integrated gene prediction for prokaryotic genomes using EuGene. XX. PAG Plant & Animal Genome, Jan 2012, San-Diego, United States. ⟨hal-02807348⟩
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