Conventional genome assemblies collapse the genetic information of a diploid or polyploid individual into a single-haplotype representation. A single-haplotype representation of a genome is useful for some of the downstream analyses,…
Conventional genome assemblies collapse the genetic information of a diploid or polyploid individual into a single-haplotype representation. A single-haplotype representation of…
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.
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.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
CROPaware – A web based software platform for breeding and genomics data management.
High performance BLAST implementation adapted to run in Spark clusters.
High-quality reference genome assemblies improve Genomic Selection and breeding
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.
With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.