New updated GT website

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

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.

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

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

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

Genomic selection (GS) is an alternative to marker assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.

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 design of experiments, aware of breeding program’s practical considerations.

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

High parallel computing version of a sequence alignment application