Breeding Bioinformatics / AgriGenomics

Plant breeding and improvement have become fields involving omics datasets of various types such as genomics, transcriptomics, proteomics, metabolomics and phenomics.

Bioinformatics approaches allow breeders to assess genetic resources and discover key QTLs and candidate genes for agronomically important traits such as stress resistance, yield or quality traits. Furthermore the selection gain per time unit can be improved by omics-based predictions.

We support breeders, amongst individual projects, with follwing services:

• Re-Sequencing
• SNP Discovery
• Genotyping
• Genome-wide Diversity Studies
• Genetic Map Construction
• Marker Identification for Marker-Assisted Selection (MAS)
• QTL Detection/Mapping
• Association Mapping (e.g. GWAS)
• Genomic/Omics Selection Prediction

Please contact us to for an initial consultation to discuss how we can support you to solve your specific challenge.