Genomic Selection

High performance BLAST implementation adapted to run in Spark clusters.

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

With increasing sample numbers and marker panel sizes, it is valuable to increase the throughput of sequencing and genotyping procedures. Genetwister develops cost-effective methods and applies available methods for allowing high-throughput genomics.

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

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.

High-quality reference genome assemblies improve Genomic Selection and breeding

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

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

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

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