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Massive increases in analytical throughput together with reductions in costs have enabled multi-omics studies to be routinely performed at a scale not previously imagined. Two main barriers hamper our ability to reveal the mechanism behind a specific genotype-phenotype link: the cross-talk between multiple molecular layers cannot be properly assessed by a reductionist approach that analyses each omics layer in isolation; and the ever-growing amount of buried information in scientific literature and public omics datasets cannot be extracted without intelligent computational approaches.

GLOMICAVE project addresses the need for building systems that allow streamlining both the experimental design and the analysis and integration at a systems level of large-scale omics experiments by maximizing the utility of pre-existing massive omics datasets and scientific literature to increase the understanding of biological systems as a whole.

The main outcome will be a multi-omics data analysis cloud-based platform, relying on Big Data Analytics and Artificial Intelligence techniques – and using large-scale publicly available and experimental omics datasets, enhanced with an automatic processing of scientific literature, to assist experts and non-experts in identifying and understanding new links between genotype and phenotype which apply to different domains.

GLOMICAVE platform 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). ASINCAR will participate in the meat quality business case.

GLOMICAVE Project will run for a period of 42 months with a total budget of EUR 6.3 million provided by the European Commission. The GLOMICAVE consortium, coordinated by Eurecat, is formed by 15 partners from 6 different European countries providing the necessary range of expertise, competence and operational capacity to achieve the innovative project objectives.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952908. This website reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains.