Distributed Computing Blast Implementation

With the increasing demands for DNA molecule size and purity on the newest long read sequencing platforms, comes the need for developing new protocols for DNA isolation from different biological sources in the laboratory at Genetwister.

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.

Improved genomic selection and breeding utilizing high quality reference genomes

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

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

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

Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding

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

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.