Location & dates EMBL Heidelberg, Germany 3 - 7 Dec 2018 Register interest
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Course Overview

The course will introduce state-of-the art modeling and experimental tools for discovering and analyzing species interactions in microbial communities, with a particular focus on metabolic dependencies.

The course will run over a period of four days, each day divided between a morning session with theory and an afternoon session with practical work. In the morning session, a leading expert in the field presents background information, key concepts and computational/experimental methods. This lecture module is followed by a round-table discussion chaired by the speaker. The concepts are then introduced in more detail by the speaker or by one of the organizing instructors. Afternoon sessions, supervised by the instructors and teaching assistants, are dedicated to extensive practical work in wet as well as dry lab.

The faculty’s expertise includes constrained based modelling, spatio-temporal dynamics, metagenomics, highthroughput phenotyping and metabolomics. Optional after-dinner programming tutorials are offered by teaching assistants.

Audience

The course is tailored for PhD students and post-docs with interest in analyzing species interactions in natural or synthetic microbial communities. We expect both biologists interested in learning/using modelling and mathematicians/physicists/computer scientists with little biology exposure. Attendance is limited to 21 and the teacher-student ratio is excellent.

Modules/Resources

The modelling component will cover constraint-based steady-state models as well as dynamic models. Experimental techniques will include high-throughput interaction mapping and metabolomics.

Learning Outcomes

The unique combination of wet-lab experiments with mathematical modelling will give the participants an all-round exposure to key methods required to go from hypothesis to the bench and back. The course will further provide a platform for discussion of the key questions and challenges in the field, and improve communication between the bench and computational scientists.

 

EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

Founder partners

  • Leica logo
  • Olympus logo

Corporate partners

  • Becton Dickinson logo
  • Boehringer Ingelheim logo
  • Eppendorf logo
  • GSK logo
  • Illumina logo
  • Sartorius
  • ThermoFisher logo

Associate partners

  • Merck logo
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  • Nikon logo
  • Sanofi logo