Assists users in reducing metabolic modeling of complex microbial communities for analyzing experimental datasets from anaerobic digestion. RedCom consists of an algorithm used for modeling communities of up to nine organisms involved in typical degradation steps of anaerobic digestion in biogas plants.
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; Otto-vonGuericke University Magdeburg, Faculty for Process and Systems Engineering, Magdeburg, Germany
RedCom funding source(s)
Supported by the "International Max Planck Research School (IMPRS) for Advanced Methods in Process and System Engineering”in Magdeburg, and by the-EU-program ERDF of the German Federal State Saxony-Anhalt within the Research Center of Dynamic Systems (CDS).
to analyse the site's operation and effectiveness, to display ads tailored to your interests
and to provide you with relevant promotional messages and other information about products,
events and services of ours or our sponsors and partner companies.
These cookies are needed for the site to work and to be optimized.
These cookies are needed to interact with the social network plugins on this site.
These cookies are used to track visitors across websites.
The intention is to display ads that are relevant and engaging for the users.
These cookies are needed in order to better understand how
this site is used and to improve the user experience.
At omicX, we believe trust is of the utmost importance. Transparency allows trust.
This is why we want you to understand what data we collect and how we use it.