In September, the Genetwister employees went out for the yearly day out to encourage team building and enjoying some relaxing activities with each other. The program this year consisted of a bushcraft workshop with the “Burgemeester van Buiten” which included making fire, cooking over the open fire as well as forest shelter building and animal tracking on the Veluwe. After the morning program, we had the opportunity to play Boerengolf near Lunteren. The day ended with a great dinner at a tapas restaurant in Ede. We look back on a fun day full of great activities!
“We are excited to welcome Michiel to Genetwister as our new CEO,” said Joost Pekelharing, the chair of Genetwister’s supervisory…
By producing cutting material with as few chemical crop protection agents as possible, growers can immediately use biological crop protection.…
Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
To interconnect different knowledge domains, we use different semantic web technologies.
High parallel computing version of a sequence alignment application.
With increasing sample numbers comes the need for automating the most valuable and applied protocols at Genetwister.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
Genomic selection (GS) is an alternative to marker-assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.
Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the designing of experiments, taking into account the breeding program’s practical considerations.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.