Distributed Computing Blast Implementation

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.

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

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.

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

CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.

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

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

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

High-quality reference genome assemblies improve Genomic Selection and breeding