Cloud-based Multiomics Network Mining for Complex Crop Traits
Lead Participant:
GENESTACK LIMITED
Abstract
As population growth and climate change have become major challenges to food security, traditional routes to
crop improvement are too slow to keep up with demand. This feasibility project involves building a proof-of-
concept integration of Rothamsted's network analysis toolset into Genestack extensible genomics data analysis
platform. Genestack is a bioinformatics startup created by experts from the European Bioinformatics Institute.
Rothamsted Research is a leading UK institute, where the availability of plant genomes, transcriptomes and
other data types has led to new insights: genetic improvement of grain development and quality, yield, disease
resistance, drought tolerance and nutrient response. Complex analytical approaches of diverse ‘omics data
types are required to make such advances. The project aims to broaden Genestack's agri-informatics
capabilities with diverse multi-omics plant datasets (genomes, transcriptomes, quantitative trait loci and
literature) to enable the analysis of biological networks, to enable the provision of a robust integrated multi-
omics data management, pre-processing and interpretation service to companies in the agri-tech industry.
crop improvement are too slow to keep up with demand. This feasibility project involves building a proof-of-
concept integration of Rothamsted's network analysis toolset into Genestack extensible genomics data analysis
platform. Genestack is a bioinformatics startup created by experts from the European Bioinformatics Institute.
Rothamsted Research is a leading UK institute, where the availability of plant genomes, transcriptomes and
other data types has led to new insights: genetic improvement of grain development and quality, yield, disease
resistance, drought tolerance and nutrient response. Complex analytical approaches of diverse ‘omics data
types are required to make such advances. The project aims to broaden Genestack's agri-informatics
capabilities with diverse multi-omics plant datasets (genomes, transcriptomes, quantitative trait loci and
literature) to enable the analysis of biological networks, to enable the provision of a robust integrated multi-
omics data management, pre-processing and interpretation service to companies in the agri-tech industry.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
GENESTACK LIMITED | £126,178 | £ 88,325 |
  | ||
Participant |
||
ROTHAMSTED RESEARCH | ||
ROTHAMSTED RESEARCH LIMITED | £22,973 | £ 22,973 |
INNOVATE UK |
People |
ORCID iD |
Misha Kapushesky (Project Manager) |