title: EuGène-maize: a web site for maize gene prediction.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  http://genome.jouy.inra.fr/eugene/cgi-bin/eugene_form.pl.
authors.affiliation: INRA, UMR 0320 / UMR 8120 Génétique Végétale, Gif-sur-Yvette, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Montalent
authors.forename: Johann
authors.initials: J
authors.lastname: Joets
mesh_terms: D000465:Algorithms; D018076:DNA, Complementary / Q000378:metabolism; D020869:Gene Expression Profiling / Q000379:methods*; D017343:Genes, Plant; D005838:Genotype; D008390:Markov Chains; D008957:Models, Genetic; D011336:Probability; D011381:Programming Languages; D016415:Sequence Alignment / Q000379:methods*; D012984:Software; D003313:Zea mays / Q000235:genetics*
chemical_list: D018076:DNA, Complementary
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