Data underlying the publication "An Efficient Triplex TaqMan Quantitative PCR to Detect a Blackleg-Causing Lineage of Pectobacterium brasiliense in Potato Based on a Pangenome Analysis”

doi:10.4121/fb37e29c-b94b-4888-b3c8-db889bf211e2.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/fb37e29c-b94b-4888-b3c8-db889bf211e2
Datacite citation style:
Theo van der Lee; Eef Jonkheer; Sandra Smit; van Gent-Pelzer, Marga P.E.; Brankovics, Balázs (2023): Data underlying the publication "An Efficient Triplex TaqMan Quantitative PCR to Detect a Blackleg-Causing Lineage of Pectobacterium brasiliense in Potato Based on a Pangenome Analysis”. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fb37e29c-b94b-4888-b3c8-db889bf211e2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data set to reconstruct the Pectobacterium brasiliense pangenome described in van der Lee, et al. (2023) "An efficient triplex TaqMan quantitative PCR to detect a blackleg-causing lineage of Pectobacterium brasiliense in potato based on a pangenome analysis". The data set contains the input data (genomes, annotations, functions, phenotypes) to reconstruct the pangenome, the conda yml file to set up the environment to perform the pangenome analysis, and the data needed to create a BLAST database from all data in the pangenome.

history
  • 2023-08-28 first online, published, posted
publisher
4TU.ResearchData
format
gzipped tar archive
organizations
Bioinformatics Group, Department of Plant Sciences, Wageningen University & Research;
Biointeractions and Plant Health, Wageningen Plant Research, Wageningen University & Research

DATA

files (2)