New digital cloud-based genotype to phenotype platform relying on Big Data Analytics and Artificial Intelligence and using large-scale publicly available and experimental omics datasets.
The GLOMICAVE project, coordinated by Eurecat, addresses the need to build systems that allow the use of primary data analytical processes and support large-scale omic experiments, thus maximising the utility of omic data at a massive level and increasing the understanding of biological systems as a whole.
The new open platform developed by the project has the objective to assist experts and non-experts in identifying and understanding new links between genotype and phenotype.
The main objectives of GLOMICAVE project are:
- Create a strategy for integrating multi-omics datasets in a harmonised and normalised manner.
- Analyse the existing investigation and literature to promote a strategy to extract knowledge on multi-omics and discover unknown genotype-phenotype links.
- Promote a multi-omics computational integration strategy based on multivariate algorithms.
- Develop a holistic and meaningful user-centred cloud-based Big Data platform for multi-omics integration and genotype-phenotype association.
GLOMICAVE integrative approach will be validated in 3 different industrial sectors such as livestock, agro-biotechnology and environment, addressing specific challenges in 6 business cases (animal reproductive technology, meat quality, fruit growth and quality, plant growth, phosphorus removal/recovery and bioenergy production in the urban water cycle.
Eurecat participates in the project through the Omics Sciences Unit, the Big Data & Data Science Unit, the Applied Artificial Intelligence Unit, Software Development Unit, the Waste, Energy and Environmental Impact (WEEI) Unit, the Water, Air and Soil (WAS) Unit and the Consultancy Department.
GLOMICAVE counts with a consortium of 15 partners from Spain, France, Germany, Belgium, Portugal and Denmark.