Jobs at Genetwister

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.

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

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

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

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

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.

High-quality reference genome assemblies improve Genomic Selection and breeding

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.

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