Distributed Analysis Computing

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.

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.

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

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

Improved genomic selection and breeding utilizing high quality reference genomes

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.

Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the designing of experiments, taking into account the breeding program’s practical considerations.

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

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

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