Association analysis

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.

Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.

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

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.

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

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

With the increasing demands for DNA molecule size and purity on the newest long read sequencing platforms, comes the need for developing new protocols for DNA isolation from different biological sources in the laboratory at Genetwister.

High parallel computing version of a sequence alignment application.

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

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