Distributed Computing Blast ...
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.
High performance BLAST implementation adapted to run in Spark clusters.
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
To interconnect different knowledge domains, we use different semantic web technologies.
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.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.