Distributed Analysis Computing

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

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.

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.

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

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.

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

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

Improved genomic selection and breeding utilizing high quality reference genomes

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.

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