TY - DATA
T1 - 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”
PY - 2023/08/28
AU - Theo van der Lee
AU - Eef Jonkheer
AU - Sandra Smit
AU - Marga P.E. van Gent-Pelzer
AU - Balázs Brankovics
UR - 
DO - 10.4121/fb37e29c-b94b-4888-b3c8-db889bf211e2.v1
KW - Pectobacterium brasiliense
KW - TaqMan
KW - field testing
KW - pangenome
KW - blackleg
N2 - <p>Data set to reconstruct the Pectobacterium brasiliense pangenome described in van der Lee, et al. (2023) "An efficient triplex&nbsp;TaqMan&nbsp;quantitative PCR to detect a blackleg-causing lineage of&nbsp;<em>Pectobacterium brasiliense</em>&nbsp;in potato based on a pangenome analysis".<strong> </strong>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.</p>
ER -