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|K-12/MG1655||Not specified||Not specified||wild-type||wild-type||Not specified||None||Not specified|
|MC4100||Not specified||Not specified||wild-type||wild-type||Not specified||None||Not specified|
This project contains materials for "Model management and result reproducibility" training at Managing Big Data tutorial on 5th of December 2016 in Potsdam.
The course will also explain how to build an effective Data Management strategy, needed if you apply for funds for a project.
The target group of this basic course are young scientists. This one day tutorial will give you insights in standard operation procedures (SOPs), experimental design, modelling design and a short introduction in SEEK.
Programme: This Project is not associated with a Programme
Public web page: http://sb-sciencemanagement.com/training/training/managing-big-data
SUMO investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling approaches using published data sets and data emerging
Contributor: Katy Wolstencroft
Assay type: Glucose Pulse
Technology type: NMR
Snapshots: No snapshots
Scales: Not specified