The Netherlands Organisation for Scientific Research (NWO) will contribute 15 million euros to a CropXR research programme into 'smart breeding' of more resilient crops. NWO’s grant marks the start of…
The Netherlands Organisation for Scientific Research (NWO) will contribute 15 million euros to a CropXR research programme into 'smart breeding'…
Researchers in the Netherlands at Genetwister Technologies, in collaboration with Dümmen Orange, have captured the full genetic information of the…
Researchers at Genetwister Technologies have generated a graph pangenome of seven cucumber varieties, capturing large-scale structural variation of this important…
Conventional genome assemblies collapse the genetic information of a diploid or polyploid individual into a single-haplotype representation. A single-haplotype representation of…
CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.
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
To interconnect different knowledge domains, we use different semantic web technologies.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
High performance BLAST implementation adapted to run in Spark clusters.