Distributed Analysis Computing

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

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

Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding

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

With the increasing demands for DNA molecule size and purity on the newest long read sequencing platforms, comes the need for developing new protocols for DNA isolation from different biological sources in the laboratory at Genetwister.

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

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

Genomic selection (GS) is an alternative to marker-assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.

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

Improved genomic selection and breeding utilizing high quality reference genomes