Distributed Computing Blast Implementation

Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.

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

Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding

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) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.

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

At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.

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

CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.

High-quality reference genome assemblies improve Genomic Selection and breeding