Application of graph-based pangenomes to accelerate plant breeding

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

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

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.

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

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.

CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.

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.

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