Semantic Web

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

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

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

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 experimental design, taking into account all practical considerations of the breeding program.

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

Genomic selection (GS) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.

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

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

High performance BLAST implementation adapted to run in Spark clusters.