Spliceator: multi-species splice site prediction using convolutional neural networks

Spliceator: multi-species splice site prediction using convolutional neural networks

Abstract Background Ab initio prediction of splice sites is an essential step in eukaryotic genome annotation. Recent predictors have exploited Deep Learning algorithms and reliable gene structures from model organisms. However, Deep Learning methods for non-model organisms are lacking. Results We d...

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Détails bibliographiques
Auteurs principaux: Nicolas Scalzitti, Arnaud Kress, Romain Orhand, Thomas Weber, Luc Moulinier, Anne Jeannin-Girardon, Pierre Collet, Olivier Poch, Julie D. Thompson
Format: article
Langue:EN
Publié: BMC 2021
Sujets:
Splice site prediction
Genome annotation
Data quality
Deep learning
Convolutional neural network
Computer applications to medicine. Medical informatics
R858-859.7
Biology (General)
QH301-705.5
Accès en ligne:https://doaj.org/article/dae123c3bbd74e8ba53ff17599644662
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https://doaj.org/article/dae123c3bbd74e8ba53ff17599644662

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