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.
More information for participants of events at EMBL Heidelberg can be found here.
- Recent advances in genomics, proteomics, and metabolomics
- Integrating different ‘omics data
- Post-translational modification: expanding proteome diversity
- Novel ‘omics technologies - including ‘omics and structural biology
- Clinical applications of multi-omics
The current speed at which novel high-throughput technologies are developed and large-scale biological data are produced offers tremendous opportunities for enhancing our molecular understanding of biological systems. One of the biggest challenges will be to interpret these large-scale biological “omics” data and to develop computational and statistical approaches to generate a coherent biological model that will enable us to address novel questions about the consequences of genetic and environmental perturbations in complex biological systems.
This conference will provide a platform for bringing together leading researchers from computational biology and various “omics” fields (e.g. genomics, genetics, proteomics, metabolomics, lipidomics, etc) to present their latest work and discuss applications, future ideas and challenges for integrating large-scale biological data across different biological technologies and disciplines.
This conference aims to bring together experts from various ‘omics fields and computational biology to discuss applications and inspire new ideas for integrating and interpreting data across the different omics technologies. We believe it will provide a interdisciplinary platform for discussing future collaborations between the different omics fields.
Who should attend?
Scientists interested in learning from different 'omics fields, computational scientists interested or working on data integration, as well as experts of a specific omic field that are interested in broadening their view.