Helixer: cross-species gene annotation of large eukaryotic genomes using deep learning

MOTIVATION: Current state-of-the-art tools for the de novo annotation of genes in eukaryotic genomes have to be specifically fitted for each species and still often produce annotations that can be improved much further. The fundamental algorithmic architecture for these tools has remained largely un...

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Detalles Bibliográficos
Autores principales: Stiehler, Felix, Steinborn, Marvin, Scholz, Stephan, Dey, Daniela, Weber, Andreas P M, Denton, Alisandra K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016489/
https://www.ncbi.nlm.nih.gov/pubmed/33325516
http://dx.doi.org/10.1093/bioinformatics/btaa1044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016489/
https://www.ncbi.nlm.nih.gov/pubmed/33325516
http://dx.doi.org/10.1093/bioinformatics/btaa1044

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