At Genetwister, we apply semantic web technologies like graph databases and RDF repositories, to connect items from the different domains in the genetics and genomics field. This allows us to obtain extra information by establishing links between genotypes, phenotypes, traits and markers, even if they belong to different experiments and/or populations.

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Other innovations

Experimental Design
Experimental Design

Experimental Design

Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the designing of experiments, taking into account the breeding program’s practical considerations.

1 Aug. 2018 View project
Association analysis
Association analysis

Association analysis

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

1 Aug. 2018 View project
Marker discovery
Marker discovery

Marker discovery

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

28 May. 2018 View project
Lab automation
Lab automation

Lab automation

With increasing sample numbers comes the need for automating the most valuable and applied protocols at Genetwister.

14 Mar. 2018 View project
Genomic Selection
Genomic Selection

Genomic Selection

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.

14 Mar. 2018 View project
CROPaware
CROPaware

CROPaware

CROPaware – A web based software platform for breeding and genomics data management.

23 Apr. 2018 View project
High-throughput sequencing and genotyping
High-throughput sequencing and genotyping

High-throughput sequencing and ...

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.

4 Apr. 2018 View project