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EuGène-maize: a web site for maize gene prediction

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 pre...

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Detalles Bibliográficos
Autores principales: Montalent, Pierre, Joets, Johann
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859131/
https://www.ncbi.nlm.nih.gov/pubmed/20400755
http://dx.doi.org/10.1093/bioinformatics/btq123
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author Montalent, Pierre
Joets, Johann
author_facet Montalent, Pierre
Joets, Johann
author_sort Montalent, Pierre
collection PubMed
description 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.
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spelling pubmed-28591312010-04-26 EuGène-maize: a web site for maize gene prediction Montalent, Pierre Joets, Johann Bioinformatics Applications Note 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. Oxford University Press 2010-05-01 2010-04-16 /pmc/articles/PMC2859131/ /pubmed/20400755 http://dx.doi.org/10.1093/bioinformatics/btq123 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Montalent, Pierre
Joets, Johann
EuGène-maize: a web site for maize gene prediction
title EuGène-maize: a web site for maize gene prediction
title_full EuGène-maize: a web site for maize gene prediction
title_fullStr EuGène-maize: a web site for maize gene prediction
title_full_unstemmed EuGène-maize: a web site for maize gene prediction
title_short EuGène-maize: a web site for maize gene prediction
title_sort eugène-maize: a web site for maize gene prediction
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859131/
https://www.ncbi.nlm.nih.gov/pubmed/20400755
http://dx.doi.org/10.1093/bioinformatics/btq123
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