Distributed Computing Blast Implementation

High-quality reference genome assemblies improve Genomic Selection and breeding

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

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

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

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

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.

CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.

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.