Consortium – Biomics Consortium – Biomics

Consortium

BIOMICS comprises research centres of excellence, with extensive international collaborative networks, worldwide recognised contribution to training, installed technical capacity and innovation-driven initiatives. These features and core values portray the consortium’s uniqueness and are perfectly aligned with its objectives.

The Gulbenkian Institute for Molecular Medicine (GIMM) is a research institute pioneering groundbreaking research from fundamental discoveries to innovative healthcare solutions.
Our mission is to push the boundaries of scientific knowledge and improve global health and well-being.​

The Centre for Genomic Regulation (CRG) in Barcelona is an international research institute dedicated to understanding the complexity of life through advanced genomics research, fostering scientific excellence, innovation, and societal impact.

The CRG will enrich BIOMICS with its unique expertise on Evolutionary Medical Genomics. Moreover, its excellence in HR, attested by its experienced forefront Academic and Training Office and Strategy and Funding Unit, makes the CRG a role model for career development and research management.

The European Bioinformatics Institute (EMBL-EBI), part of the European Molecular Biology Laboratory (EMBL), is a world-leading centre for bioinformatics research, services, and training, supporting life sciences and advancing knowledge in molecular biology through data-driven innovation and collaboration.

BIOMICS will strongly benefit from the training in Bioinformatics provided by EMBL-EBI, from their expertise in data organisation and provision, and from their outreach experience in communicating big data projects and respective results.

ETH Zurich (Swiss Federal Institute of Technology) is a world-renowned university for science, technology, engineering, and mathematics, driving cutting-edge research and innovation to address global challenges and shape the future.

Associated partner ETH brings to BIOMICS crucial expertise on protein structure prediction and metagenomics.