EMBO | EMBL Symposium: Multiomics to Mechanisms – Challenges in Data Integration
September 15 to September 17
EMBL is committed to sharing research advances and sustaining scientific interaction throughout the coronavirus pandemic. We are delighted to announce that the conference is going virtual and invite you to join us online. The virtual conference includes talks from invited speakers, short talk presenters, online group discussions and networking opportunities.
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.
- Novel high-throughput technologies
- Statistical methods for data integration
- Computational tools for data integration
- Multiomics in single cells
- Applications of multiomics
- Applications of metabolomics
- Applications of proteomics
- Applications of genomics
- Mechanistic studies to follow up omics studies
Nevan Krogan, University of California, San Francisco, USA
Uwe Sauer, ETH Zürich, Switzerland
Judith Zaugg, EMBL Heidelberg, Germany
All our virtual courses provide hands on training and live interaction with word leading experts. We also provide a number of fee waivers (further information is available on Practical Information).