Experimental Design
Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the experimental design, taking into account all practical considerations of the breeding program.
Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the experimental design, taking into account all practical considerations of the breeding program.
High-quality reference genome assemblies improve Genomic Selection and breeding
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
High performance BLAST implementation adapted to run in Spark clusters.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
Genomic selection (GS) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.