Selection of candidate genes controlling veraison time in grapevine through integration of meta-QTL and transcriptomic data.

Pietro DelfinoSara ZenoniZahra ImanifardGiovanni Battista TornielliDiana Bellin

Published in: BMC genomics (2019)

Integration of meta-QTLs analysis on available phenology related QTLs and data from transcriptomic dataset allowed to strongly reduce the number of candidate genes for the genetic control of the veraison transition, prioritizing a list of 272 genes, among which 78 involved in regulation of gene expression, signal transduction or development.

Keyphrases

gene expression
electronic health record
genome wide
single cell
big data
dna methylation
rna seq
copy number
artificial intelligence