If you are studying bioinformatics (at bachelor or master level) and you are interested to take a look at company life, then Genetwister might be of interest to you.
Our offer: A position for at least six months.
Interested? Send your resume to: info@genetwister.nl.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
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.
High parallel computing version of a sequence alignment application.
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.
CROPaware – A web based software platform for breeding and genomics data management.
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.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
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.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
With increasing sample numbers comes the need for automating the most valuable and applied protocols at Genetwister.