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  Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process

Koch, S., Benndorf, D., Reichl, U., & Klamt, S. (2016). Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process. Talk presented at Annual Conference 2016 of the Association for General and Applied Microbiology (VAAM). Jena, Germany. 2016-03-13 - 2016-03-16.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-E63E-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-E63F-7
Genre: Talk

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 Creators:
Koch, Sabine1, 2, Author              
Benndorf, Dirk3, Author              
Reichl, Udo3, Author              
Klamt, Steffen1, Author              
Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
3Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              

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Language(s): eng - English
 Dates: 2016
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: -
 Degree: -

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Title: Annual Conference 2016 of the Association for General and Applied Microbiology (VAAM)
Place of Event: Jena, Germany
Start-/End Date: 2016-03-13 - 2016-03-16

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