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Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits.
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.
Afiliación
  • Dort EN; Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada.
  • Layne E; School of Computer Science, McGill University, Montreal, QC, Canada.
  • Feau N; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, BC, Canada.
  • Butyaev A; School of Computer Science, McGill University, Montreal, QC, Canada.
  • Henrissat B; Department of Biotechnology and Biomedicine (DTU Bioengineering), Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
  • Martin FM; Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Haridas S; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Unité Mixte de Recherche Interactions Arbres/Microorganismes, Centre INRAE, Grand Est-Nancy, Université de Lorraine, Champenoux, France.
  • Salamov A; Lawrence Berkeley National Laboratory, U.S. Department of Energy Joint Genome Institute, Berkeley, CA, USA.
  • Grigoriev IV; Lawrence Berkeley National Laboratory, U.S. Department of Energy Joint Genome Institute, Berkeley, CA, USA.
  • Blanchette M; Lawrence Berkeley National Laboratory, U.S. Department of Energy Joint Genome Institute, Berkeley, CA, USA.
  • Hamelin RC; Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA.
Sci Rep ; 13(1): 17203, 2023 10 11.
Article en En | MEDLINE | ID: mdl-37821494
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ascomicetos / Genoma Fúngico Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Canadá
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ascomicetos / Genoma Fúngico Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Canadá