High Molecular Weight DNA isolation

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

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

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.

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

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

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.

High parallel computing version of a sequence alignment application.

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