Annotated genomes used in the publication: Machine learning approaches to predict the plant-associated phenotype of Xanthomonas strains

doi:10.4121/14546625.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14546625
Datacite citation style:
Jasper Koehorst; Wasin Poncheewin; Peter J. Schaap; Dennie te Molder (2021): Annotated genomes used in the publication: Machine learning approaches to predict the plant-associated phenotype of Xanthomonas strains. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14546625.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Annotated genomes in RDF format used in publication containg functional annotation used in machine learning to predict plant-assiocated phenotype properties.
history
  • 2021-07-08 first online, published, posted
publisher
4TU.ResearchData
format
HDT
funding
  • UNLOCK, NWO: 184.035.007
  • Royal Thai Government Scholarship, Thailand
organizations
Wageningen University & Research, Department of Agrotechnology and Food Sciences

DATA

files (2)