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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Autores principales:	Nicolas Scalzitti, Arnaud Kress, Romain Orhand, Thomas Weber, Luc Moulinier, Anne Jeannin-Girardon, Pierre Collet, Olivier Poch, Julie D. Thompson
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/dae123c3bbd74e8ba53ff17599644662
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Spliceator: multi-species splice site prediction using convolutional neural networks

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