Improving candidate Biosynthetic Gene Clusters in fungi through reinforcement learning

MOTIVATION: Precise identification of Biosynthetic Gene Clusters (BGCs) is a challenging task. Performance of BGC discovery tools is limited by their capacity to accurately predict components belonging to candidate BGCs, often overestimating cluster boundaries. To support optimizing the composition...

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Detalles Bibliográficos
Autores principales: Almeida, Hayda, Tsang, Adrian, Diallo, Abdoulaye Baniré
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364373/
https://www.ncbi.nlm.nih.gov/pubmed/35762945
http://dx.doi.org/10.1093/bioinformatics/btac420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364373/
https://www.ncbi.nlm.nih.gov/pubmed/35762945
http://dx.doi.org/10.1093/bioinformatics/btac420

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