Back

Discovery Tech: Visit to the CRG

Discovery Tech 2023 – CRG


Discover the capabilities of the Centre for Genomic Regulation and its technology transfer mechanisms.

Register

SHARE

Dec 12, 2023 - Dec 12, 2023
11:00H - 18:00H
Centre for Genomic Regulation (CRG) C/ Dr. Aiguader, 88 PRBB Building 08003 Barcelona, Spain





The next Discovery Tech activity is scheduled for Tuesday, December 12th, offering an in-person visit to the Centre for Genomic Regulation (CRG) at the Barcelona Biomedical Research Park (PRBB).

The Collider's Discovery Tech sessions involve visits to universities and research centers to explore their scientific innovations and capabilities, with the aim of seeking collaborations with industry partners. In this edition, we will delve into CRG's capabilities and projects in the field of life sciences.

The CRG is an internationally renowned institute specializing in biomedical and genomic research. It focuses on four main areas: Systems and Synthetic Biology; Computational Biology and Health Genomics; Genome Biology and Quantitative Cell Biology. For more information about their areas and capabilities, please visit their CRG website.

The Discovery Tech event is scheduled for next Tuesday, December 12th, with a visit to the CRG and PRBB between 10:30 and 13:00 approximately. In the afternoon, there's an optional visit to Tech Spirit event, part of the digital innovation ecosystem of Barcelona. You can find more details about the event here: Tech Spirit Event. The Tech Spirit venue is just a 15-minute walk from the CRG and PRBB.

Please note that the schedule is subject to change. This activity is exclusively for Corporate Partners of The Collider and Barcelona Health Hub, and registration is not open to the public. The event will be conducted in Spanish.




Register
Programme
Introduction to be given by David Domingo and Ona Estapé
- Luis Serrano : Director of CRG. In-silico protein design. Serrano Lab have developed a suite of software for rapid evaluation of effects of protein mutation on properties and are developing computational methods for biologics design. (15 min)
- Mafalda Dias / Jonathan Frazer: Probabilistic Machine Learning and Genomics. The Dias & Frazer lab develops machine learning models for large-scale prediction of the pathogenicity of protein variants in human disease-related genes to improve understanding of clinical consequences. (10 min)
- Roderic Guigo: Computational Biology of RNA Processing. The Guigó Lab develop computational methods for various applications ranging from gene annotation to investigation of endophenotypes and is leading the Catalan Initiative of the Earth BioGenome Project. (10 min) - Startup pitches: Orikine, AlloX

crg.jpg

Contact

The Collider
-