SEEK ID: https://fairdomhub.org/people/407
Location: United Kingdom
ORCID: Not specified
Joined: 14th Jan 2013
Expertise: Not specified
Tools: Not specified
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SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
"Systems Understanding of Microbial Oxygen responses" (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 ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=55
Organisms: Escherichia coli, Escherichia coli K-12
Using TFinfer2 to analyse data from "Characterization of MG1655 and mutant strains under conditions of glucose excess and limitation"
Submitter: Botond Cseke
Biological problem addressed: Model Analysis Type
Investigation: Analysis of the glucose transport in Escherichi...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Code for joint probabilistic inference of transcription factor behaviour and gene-transcription factor as well as metabolite-transcription factor interaction based on genome and metabolite data.
Creators: Botond Cseke, Guido Sanguinetti
Submitter: Botond Cseke
Model type: Not specified
Model format: Matlab package
Environment: Matlab
Summary 1.1 modifying TFinfer to model the TFs using ON/OFF switches (fast response model), 1.2 trying to infer metabolites effect using a joint gene-tf-metabolite model, 2 analysing aerbiosis data using a similar model, 3 clustering genes for extending the EC network to obtain better fits to the data (feedback loop).
Creator: Botond Cseke
Submitter: Botond Cseke