A constantly increasing number of samples requires the throughput in the lab to be scaled up accordingly. At Genetwister, we program our state-of-the-art liquid handler to process large numbers of samples to be prepared for sequencing efficiently.
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CROPaware – A web based software platform for breeding and genomics data management.
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.
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
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
To interconnect different knowledge domains, we use different semantic web technologies.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding