At Genetwister, there is a strong focus on leveraging the state-of-the-art technologies to allow novel applications in genomics research. The researchers at Genetwister scout for and evaluate the latest developments in sequencing, genotyping and other technologies in the field of genomics. Long read sequencing allows generation and improvement of de novo assemblies of complex plant genomes. In addition, haplotype discovery using long range genomic information is valuable for application in breeding programs.

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Other innovations

High Molecular Weight DNA isolation
High Molecular Weight DNA isolation

High Molecular Weight DNA isolation

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.

14 Mar. 2018 View project
Genotyping array design
Genotyping array design

Genotyping array design

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

14 Mar. 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
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
CROPaware
CROPaware

CROPaware

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

23 Apr. 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