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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Discovery of markers in all plant species by next-generation sequencing for accelerated plant 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.
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.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
CROPaware – A web based software platform for breeding and genomics data management.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation
High parallel computing version of a sequence alignment application.
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.