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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Bibliographic Details
Main Authors:	Nicolas Scalzitti, Arnaud Kress, Romain Orhand, Thomas Weber, Luc Moulinier, Anne Jeannin-Girardon, Pierre Collet, Olivier Poch, Julie D. Thompson
Format:	article
Language:	EN
Published:	BMC 2021
Subjects:	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
Online Access:	https://doaj.org/article/dae123c3bbd74e8ba53ff17599644662
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Spliceator: multi-species splice site prediction using convolutional neural networks

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