Association analysis

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

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.

High-quality reference genome assemblies improve Genomic Selection and breeding

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

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.

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

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

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.