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

Our innovations

Semantic Web
Semantic Web

Semantic Web

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

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
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 Feb. 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
Marker discovery
Marker discovery

Marker discovery

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

28 Feb. 2021 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. 2021 View project
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 Mar. 2021 View project