Long Read Sequencing

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

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

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

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

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

At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.

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.

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.

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

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