Genotyping array design

High performance BLAST implementation adapted to run in Spark clusters.

High-quality reference genome assemblies improve Genomic Selection and breeding

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

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

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

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

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.

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

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.