If you are studying bioinformatics (at the bachelor or master level) and you are interested to take a look at company life, then Genetwister might be of interest to you.
We offer: A position for at least six months. Interns have their own research question and the opportunity to investigate this in our bioinformatics group. Intensive coaching will ensure an optimal project progress. A limited reimbursement of expenses is possible.
Interested? Send your resume to: info@genetwister.nl.
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.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations utilizing linked variants
In 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.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding.
Improved genomic selection and breeding utilizing high quality reference genomes
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level
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.