Distributed Computing Blast Implementation

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

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.

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

Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.

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.

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

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

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

Improved genomic selection and breeding utilizing high quality reference genomes