Location & dates EMBL Heidelberg, Germany 8 - 11 May 2016
Deadlines Registration closed Abstract submission closed

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.

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  • Abstract submission deadline closed.  Please contact Gwen Sanderson for late poster submissions.
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Why attend?

This symposium focuses on the interface of ecology and evolutionary genetics, with special emphasis placed on the interaction between organisms as a basis for understanding ecological adaptation. New sequencing-based methods are bridging the gap between modern genetics and systems-level ecological studies. This is paralleled by dramatic improvements in imaging and remote sensing, with which one can capture both spatial and temporal components of dynamic interactions between individuals and their natural environment.


Areas of discussion will be the right balance between generating large volumes of data and the depth of scientific questions to be addressed. An important aim is the development of biological concepts for comparative analysis and experimental strategies for functional analysis that optimally exploit the advances in data collection.


  • genotype-phenotype map
  • interorganismal interactions 
  • ecological genomics 
  • evolutionary genetics
  • landscape genomics

Who should attend?

Specialists from ecology who want to learn how cutting-edge genomics can support their work, and specialists from genetics who want to learn how cutting-edge field methods can help them address questions that cannot be conclusively answered by lab work. The meeting is also for anybody who wants to bring a new ecological model system into the genomic era.