ArticleBioinformatics (Oxford, England)2010
EuGène-maize: a web site for maize gene prediction.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 2 citations in OpenAlex.
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2 authors at 1 institution in 1 country.
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Abstract
motivationA 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.
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