High Molecular Weight DNA isolation

High parallel computing version of a sequence alignment application.

Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.

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.

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.

Improved genomic selection and breeding utilizing high quality reference genomes

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.

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.

Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation

To interconnect different knowledge domains, we use different semantic web technologies.