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 efficiently prepared for sequencing.
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To interconnect different knowledge domains, we use different semantic web technologies.
CROPaware – A web based software platform for breeding and genomics data management.
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.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
Improved genomic selection and breeding utilizing high quality reference genomes
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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation
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.