Distributed Analysis Computing

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

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

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

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

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

Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.

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