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Annotating genomes with massive-scale RNA sequencing

France Denoeud1,2,3* email, Jean-Marc Aury1,2,3* email, Corinne Da Silva1,2,3 email, Benjamin Noel1,2,3 email, Odile Rogier1,2,3 email, Massimo Delledonne4 email, Michele Morgante5 email, Giorgio Valle6 email, Patrick Wincker1,2,3 email, Claude Scarpelli1,2,3 email, Olivier Jaillon1,2,3 email and François Artiguenave1,2,3 email

CEA, DSV, Institut de Génomique, Genoscope, 2 rue Gaston Crémieux, CP5706, 91057 Evry, France

CNRS, UMR 8030, 2 rue Gaston Crémieux, CP5706, 91057 Evry, France

Université d'Evry, 91057 Evry, France

Scientific and Technology Department, strada le Grazie 15, 37134 Verona, Italy

Istituto di Genomica Applicata, Parco Scientifico e Tecnologico di Udine, Via Linussio 51, 33100 Udine, Italy

CRIBI, Università degli Studi di Padova, viale G. Colombo, 35121 Padova, Italy

author email corresponding author email* Contributed equally

Genome Biology 2008, 9:R175doi:10.1186/gb-2008-9-12-r175

Published: 16 December 2008

Subject areas: Genome studies, Methods

Abstract

Next generation technologies enable massive-scale cDNA sequencing (so-called RNA-Seq). Mainly because of the difficulty of aligning short reads on exon-exon junctions, no attempts have been made so far to use RNA-Seq for building gene models de novo, that is, in the absence of a set of known genes and/or splicing events. We present G-Mo.R-Se (Gene Modelling using RNA-Seq), an approach aimed at building gene models directly from RNA-Seq and demonstrate its utility on the grapevine genome.


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