Semantic Web

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

High-quality reference genome assemblies improve Genomic Selection and 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.

Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.

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.

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

Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support breeding

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

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.

High performance BLAST implementation adapted to run in Spark clusters.