Association analysis

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.

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

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

Improved genomic selection and breeding utilizing high quality reference genomes

High parallel computing version of a sequence alignment application.

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

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

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.

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

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.