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 displayed 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)