Integrated gene prediction for prokaryotic genomes using EuGene

Sallet, Erika; Gouzy, Jerome; Roux, Brice; Capela, Delphine; Sauviac, Laurent; Bruand, Claude; Gamas, Pascal; Schiex, Thomas

Integrated gene prediction for prokaryotic genomes using EuGene

2011

With the advent of new generation sequencing, the annotation of new prokaryotic genomic sequences will occur in a data-rich context, including a variety of libraries of short reads of transcriptomic sequences. This rich context creates new potentialities in annotation. In this paper, we describe the new prokaryotic variant of the integrative gene prediction software EuGene. By leveraging RNA-Seq data, EuGene becomes capable of predicting new functional structures,including RNA genes and untranslated transcribed regions inside operons.

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Bibliographic information

Published in

2011; JOBIM 2011 - 12e édition du Colloque - Journées Ouvertes en Biologie, Informatique et Mathématiques, Paris, FRA, 2011-06-28-2011-07-01,

Other Subjects

Combinatorics; Statistiques (mathématiques); Rna gene; Microbiology and parasitology; Combinatoire; Microbiologie et parasitologie; Rna-seq.; Gene prediction; Ngs

Language

English

Type

Conference Paper; Conference Part

In AGRIS since: 2016-10-15

Modification date: 2025-12-04

Format: AGRIS AP

Data Provider

This bibliographic record has been provided by Fundamental Library of Latvia University of Life Sciences and Technologies

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Links

http://prodinra.inra.fr/ft/E8FE41BF-D8FF-4112-9EDB-1ED66517077E http://prodinra.inra.fr/record/164650