Distributed Computing Blast Implementation

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

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

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

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.

CROPaware – A web based software platform for breeding and genomics data management.

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

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

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.

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.

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