Researchers at Genetwister Technologies have generated a graph pangenome of seven cucumber varieties, capturing large-scale structural variation of this important crop. The cucumber pangenome is the culmination of multiple years…
Conventional genome assemblies collapse the genetic information of a diploid or polyploid individual into a single-haplotype representation. A single-haplotype representation of…
High performance BLAST implementation adapted to run in Spark clusters.
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.
To interconnect different knowledge domains, we use different semantic web technologies.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the experimental design, taking into account all practical considerations of the breeding program.
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
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.
High-quality reference genome assemblies improve Genomic Selection and breeding