Association analysis

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.

High-quality reference genome assemblies improve Genomic Selection and breeding

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

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.

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.

High performance BLAST implementation adapted to run in Spark clusters.

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

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

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