Journal Article

EuGène-maize: a web site for maize gene prediction

Pierre Montalent and Johann Joets

in Bioinformatics

Volume 26, issue 9, pages 1254-1255
Published in print May 2010 | ISSN: 1367-4803
Published online April 2010 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btq123

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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: joets@moulon.inra.fr

Supplementary information:Supplementary data are available at Bioinformatics online.

Journal Article.  1106 words. 

Subjects: Bioinformatics and Computational Biology

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