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.
Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding
Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.
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.
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
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
High parallel computing version of a sequence alignment application.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.