Long Read Sequencing

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

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

To interconnect different knowledge domains, we use different semantic web technologies.

High performance BLAST implementation adapted to run in Spark clusters.

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

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

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

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