Distributed Computing Blast Implementation

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

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 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.

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.

Improved genomic selection and breeding utilizing high quality reference genomes

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

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

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

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.

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