Evaluation of gene prediction software using a genomic data set: application to <$O_SSF>Arabidopsis thaliana<$C_SSF>sequences

@article{Pavy1999EvaluationOG,
  title={Evaluation of gene prediction software using a genomic data set: application to <\$O_SSF>Arabidopsis thaliana<\$C_SSF>sequences},
  author={Nathalie Pavy and Stephane Rombauts and Patrice D{\'e}hais and Catherine Math{\'e} and Ramana V. Davuluri and Philippe Leroy and Pierre Rouz{\'e}},
  journal={Bioinformatics},
  year={1999},
  volume={15 11},
  pages={887-99}
}
MOTIVATION The annotation of the Arabidopsis thaliana genome remains a problem in terms of time and quality. To improve the annotation process, we want to choose the most appropriate tools to use inside a computer-assisted annotation platform. We therefore need evaluation of prediction programs with Arabidopsis sequences containing multiple genes. RESULTS We have developed AraSet, a data set of contigs of validated genes, enabling the evaluation of multi-gene models for the Arabidopsis genome… CONTINUE READING
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