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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To interconnect different knowledge domains, we use different semantic web technologies.
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.
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.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
In Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations utilizing linked variants
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level
CROPaware – A web based software platform for breeding and genomics data management.
Genomic Selection was implemented at GT.
Using state-of-the-art technologies such as long read sequencing technologies allows Genetwister to build high quality genome assemblies of novel species and obtain long range genomic information such as haplotypes and structural variants.