Distributed Analysis Computing

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

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.

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.

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

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.

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 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 high-throughput genomics.

High performance BLAST implementation adapted to run in Spark clusters.

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