High-throughput sequencing and genotyping

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

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.

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

High-quality reference genome assemblies improve Genomic Selection and breeding

High performance BLAST implementation adapted to run in Spark clusters.

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

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.

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