De novo genome assemblies

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

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

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

Genomic selection (GS) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.

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

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.

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

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

High performance BLAST implementation adapted to run in Spark clusters.

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