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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CROPaware – A web based software platform for breeding and genomics data management.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
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.
To interconnect different knowledge domains, we use different semantic web technologies.
High parallel computing version of a sequence alignment application.
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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation
Improved genomic selection and breeding utilizing high quality reference genomes