Semantic Web
Semantic Web
To interconnect different knowledge domains, we use different semantic web technologies.
The Molecular Genomics group assists in the development of cultivars with superior quality, through practical application of high throughput sequencing and genotyping technologies. The team continuously scouts for novel developments in these fields, and evaluates the most promising of these technologies for application by the shareholder or in shareholder specific applied projects.
The Bioinformatics department at Genetwister applies information technology to the research performed at the company. Within this department, expertise in the fields of molecular biology, information technology, statistics and programming is combined to support gene discovery, breeding, metabolic engineering and diagnostics. An important activity is visualization of data, as this helps other departments and our clients to convert the results into applications. The department has developed tools for analyzing sequencing data, SNP discovery (CROPaware™ software), genome analysis, and analysis of expression data from custom oligoarrays.
The group Genetics and Breeding aims at the advancement of the breeding programs of our shareholders through developing and implementing (marker-assisted) breeding tools. In more detail, the group provides advice on experimental design and phenotyping, performs advanced statistical genetic analysis and facilitates the integration of results in the breeding programs of our shareholders. Our research leads to the identification of the best individuals based on their phenotypic and/or genomic composition. By doing so, we aim at significantly contributing to the the success of our shareholders’ breeding programs.
In the Software Development Group we contribute to the research activities of Genetwister by applying computer science principles and practices. Expert scientists with different backgrounds work together in the design, implementation and maintenance of software tools focused on genomics and breeding data management.
We are an innovative Dutch biotechnology company, with an international position in commercially applied biotechnology of agri- and horticultural crops. Genetwister is your reliable partner in accelerating the breeding of your crop.
Genetwister works to provide cutting edge technologies to five breeding companies to strengthen their leading positions in the field.
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.
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.
With the increasing demands for DNA molecule size and purity on the newest long read sequencing platforms, comes the need for developing new protocols for DNA isolation from different biological sources in the laboratory at Genetwister.
Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.
At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.
Genomic selection (GS) is an alternative to marker-assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.
High parallel computing version of a sequence alignment application.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation