The Bioinformatics team applies state of the art information technology in research projects for our customers. We combine our expertise in the fields of molecular biology, information technology, statistics and programming to support genetic marker development, gene discovery, breeding for complex traits and identify lead genes for trait improvement via classical or novel breeding technologies. Visualization of vast amounts of data is an important aspect of our work, as this helps our scientists and customers to use the results of research projects to improve crops.

The main focus of the bioinformatics team is on genomic data analyses that support breeding efforts. To provide a solid backbone for downstream data processing, we assemble high-quality reference genomes and transcriptomes and perform structural and functional annotation. This is often supplemented with studies of diversity such as variant discovery and inference of phylogenies. Moreover, we conduct analyses geared towards specific questions such as quantitative transcriptomics, haplotyping and design of various genotyping assays.

Our innovations

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. 2021 View project
CROPaware
CROPaware

CROPaware

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

23 Feb. 2021 View project
Long Read Sequencing
Long Read Sequencing

Long Read Sequencing

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.

14 Mar. 2021 View project
Lab automation
Lab automation

Lab automation

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

14 Mar. 2021 View project
Semantic Web
Semantic Web

Semantic Web

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

14 Mar. 2021 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 Mar. 2021 View project
Genomic Selection
Genomic Selection

Genomic Selection

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.

14 Mar. 2021 View project