Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning

BACKGROUND: A wealth of genome sequences has provided thousands of genes of unknown function, but identification of functions for the large numbers of hypothetical genes in phytopathogens remains a challenge that impacts all research on plant-microbe interactions. Decades of research on the molecula...

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Detalles Bibliográficos
Autores principales: Ma, Bing, Charkowski, Amy O, Glasner, Jeremy D, Perna, Nicole T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079955/
https://www.ncbi.nlm.nih.gov/pubmed/24952641
http://dx.doi.org/10.1186/1471-2164-15-508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079955/
https://www.ncbi.nlm.nih.gov/pubmed/24952641
http://dx.doi.org/10.1186/1471-2164-15-508

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