Long Read Sequencing
Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.
Scientists of Genetwister’s expert teams Genomics, Bioinformatics, Genetics and Breeding, and Software Development work together seamlessly to provide you with the best results for your projects.
Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.
With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.
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.
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.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
High-quality reference genome assemblies improve Genomic Selection and 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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.
Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support 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.
High performance BLAST implementation adapted to run in Spark clusters.
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.
CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.