De novo genome assemblies
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.
High-quality reference genome assemblies improve Genomic Selection and breeding
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
To interconnect different knowledge domains, we use different semantic web technologies.
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.
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.
Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support breeding
CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.
High-quality reference genome assemblies improve Genomic Selection and breeding
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.
Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding
To interconnect different knowledge domains, we use different semantic web technologies.
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.
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.
Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support breeding
CROPaware – A web based software platform for breeding and genomics data management.
Leafy - Our state-of-the-art lead dicovery platform.
High-quality reference genome assemblies improve Genomic Selection and breeding
Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.
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.
Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.