Location & dates Virtual 15 - 17 Sep 2021 Register interest
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EMBL Courses and Conferences during the Coronavirus pandemic

With the onsite programme paused, many of our events are now being offered in virtual formats.

Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.

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Symposium Overview

The current speed at which high-throughput data are produced and the growing number of studies that use not only one but multiple omics technologies on the same samples offers tremendous opportunities for enhancing our molecular understanding of biological systems. One of the biggest challenges in the era of multiomics is the integration and interpretation of the diverse large-scale omics data in a way that provides biological insights. This requires the development of statistical, mathematical and computational tools and - equally important - experimental strategies to follow up on hypotheses generated by large-scale data. Together, these computational and experimental tools will enable us to address novel questions and identify biological mechanisms.

This is the third in series of EMBL|EMBO symposia focusing on challenges and opportunities in data integration. Our goal is to provide a platform for discussing and presenting strategies for multiomics data integration that go beyond descriptive analyses and aim towards mechanistic, biological interpretation. For this we are inviting scientists from different fields that share their enthusiasm for integrating multi-modal data to understand biological systems. Traditionally, the audience of the meeting has been very diverse in terms of biology, yet very united in their interest in discussing about how to integrate and learn from data. Presenters are therefore asked to specifically highlight the integrative aspect of their work and how it helped in understanding biology.

Session Topics

  • Novel high-throughput technologies
  • Statistical tools for data integration
  • Omics and structural biology
  • Multiomics - focus genomics
  • Multiomics - focus metabolomics
  • Multiomics - focus proteomics