Genomic Selection

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 applied protocols at Genetwister.

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

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

Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the designing of experiments, taking into account the breeding program’s practical considerations.

Improved genomic selection and breeding utilizing high quality reference genomes

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

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.

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

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