Jobs at Genetwister

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

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

At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.

CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.

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.

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

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

High-quality reference genome assemblies improve Genomic Selection and breeding

High performance BLAST implementation adapted to run in Spark clusters.

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