Annotated genomes used in the publication: Machine learning approaches to predict the plant-associated phenotype of Xanthomonas strains
doi:10.4121/14546625.v1
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doi: 10.4121/14546625
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
associated peer-reviewed publication
Machine learning approaches to predict the plant-associated phenotype of Xanthomonas strains
funding
- UNLOCK, NWO: 184.035.007
- Royal Thai Government Scholarship, Thailand
organizations
Wageningen University & Research, Department of Agrotechnology and Food Sciences
DATA
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- 943 bytesMD5:
f3b2e0a08f80a85a8b7562be2ef5ac6f
README.txt - 639,817,373 bytesMD5:
b78cdf78b33d8f7ff1dc80ac3d2ad90d
Annotated_Genomes.zip -
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