Distributed Computing Blast Implementation

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.

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

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

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.

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

Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.

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