High throughput precision Phenotyping

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

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

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

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.

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

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

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.

High parallel computing version of a sequence alignment application.

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.

Improved genomic selection and breeding utilizing high quality reference genomes