Long Read Sequencing

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

Improved genomic selection and breeding utilizing high quality reference genomes

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.

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

Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the designing of experiments, taking into account the breeding program’s practical considerations.

High parallel computing version of a sequence alignment application.

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

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

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

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.