Jobs at Genetwister

High-quality reference genome assemblies improve Genomic Selection and breeding

With increasing sample numbers and marker panel sizes, it is valuable to increase the throughput of sequencing and genotyping procedures. Genetwister develops cost-effective methods and applies available methods for allowing high-throughput genomics.

Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.

Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support breeding

To interconnect different knowledge domains, we use different semantic web technologies.

Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.

CROPaware – A web based software platform for breeding and genomics data management.

High performance BLAST implementation adapted to run in Spark clusters.

With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.

Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.