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.…
High parallel computing version of a sequence alignment application.
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.
With increasing sample numbers and marker panel sizes, it is valuable to increase the throughput of sequencing and genotyping procedures. Genetwister develops cost-effective methods and applies available methods for allowing high-throughput genomics.
With the increasing demands for DNA molecule size and purity on the newest long read sequencing platforms, comes the need for developing new protocols for DNA isolation from different biological sources in the laboratory at Genetwister.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation
Improved genomic selection and breeding utilizing high quality reference genomes
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
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.
To interconnect different knowledge domains, we use different semantic web technologies.