Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits

Invasive plant pathogenic fungi have a global impact, with devastating economic and environmental effects on crops and forests. Biosurveillance, a critical component of threat mitigation, requires risk prediction based on fungal lifestyles and traits. Recent studies have revealed distinct genomic pa...

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Detalles Bibliográficos
Autores principales: Dort, E. N., Layne, E., Feau, N., Butyaev, A., Henrissat, B., Martin, F. M., Haridas, S., Salamov, A., Grigoriev, I. V., Blanchette, M., Hamelin, R. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567782/
https://www.ncbi.nlm.nih.gov/pubmed/37821494
http://dx.doi.org/10.1038/s41598-023-44005-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567782/
https://www.ncbi.nlm.nih.gov/pubmed/37821494
http://dx.doi.org/10.1038/s41598-023-44005-w

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