Distributed Analysis Computing

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

High performance BLAST implementation adapted to run in Spark clusters.

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.

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.

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

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

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

Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.

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.