EuGène-maize

a web site for maize gene prediction

Montalent, Pierre
Joets, Johann

INRA, UMR 0320 / UMR 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France

* To whom correspondence should be addressed.

Associate Editor: Dmitrij Frishman

Received November 10, 2009

Accepted March 18, 2010

Bioinformatics 26(9):p 1254-1255, May 1, 2010. | DOI: 10.1093/bioinformatics/btq123

Motivation:A large part of the maize B73 genome sequence is now available and emerging sequencing technologies will offer cheap and easy ways to sequence areas of interest from many other maize genotypes. One of the steps required to turn these sequences into valuable information is gene content prediction. To date, there is no publicly available gene predictor specifically trained for maize sequences. To this end, we have chosen to train the EuGène software that can combine several sources of evidence into a consolidated gene model prediction.

Availability:http://genome.jouy.inra.fr/eugene/cgi-bin/eugene_form.pl

Contact:[email protected]

Supplementary information:Supplementary data are available at Bioinformatics online.