Semantic Web

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

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

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

Improved genomic selection and breeding utilizing high quality reference genomes

High parallel computing version of a sequence alignment application.

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.

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

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.

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.