Distributed Computing Blast Implementation

Improved genomic selection and breeding utilizing high quality reference genomes

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

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

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

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

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.

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.

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