Distributed Computing Blast Implementation

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.

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.

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.

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

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

Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation

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.