Distributed Computing Blast Implementation

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

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

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

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.

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

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

Improved genomic selection and breeding utilizing high quality reference genomes

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