At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
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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
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.
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.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
High parallel computing version of a sequence alignment application.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.