Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
.reviews
 |  |  |  | 


Minireview

Gene prediction: compare and CONTRAST

Paul Flicek email

European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK

author email corresponding author email

Genome Biology 2007, 8:233doi:10.1186/gb-2007-8-12-233

Published: 20 December 2007

Subject areas: Bioinformatics, Methods, Genome studies

Abstract

CONTRAST, a new gene-prediction algorithm that uses sophisticated machine-learning techniques, has pushed de novo prediction accuracy to new heights, and has significantly closed the gap between de novo and evidence-based methods for human genome annotation.


© 1999-2009 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.