Jobs at Genetwister

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

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.

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.

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.

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.

Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.

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

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.

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