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Created: 20th Feb 2013 at 14:37
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Projects: SysMO DB, HUMET Startup, FAIRDOM, Consensus Hallmark Annotation, NL-Bioimaging FAIR Metadata Templates, FAIR Functional Enrichment, Benefit for All FAIR Data
Institutions: University of Leiden, LIACS
https://orcid.org/0000-0002-1279-5133Expertise: Biochemistry, Bioinformatics, Data Management
Tools: Data Management, Transcriptomics, Databases, Workflows, Web services, Taverna, Ontologies, semantic web
I am an Assistant Professor at Leiden University in the Leiden Institute of Advanced Computer Science. I am a bioinformatician and my research interests are in data integration. I use scientific workflows and semantic web technologies to integrate and analyse data in systems biology and functional genomics.
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/
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
- facilitates and maximises the potential for data exchange between SysMO research groups;
- maximises the ‘shelf life’ and ...
Programme: SysMO
Public web page: http://www.sysmo-db.org/
Organisms: Not specified
Investigating oscillations at the level of yeast populations and individual cells
Submitter: Katy Wolstencroft
Studies: Detailed kinetics of yeast glycolytic oscillation, Sustained glycolytic oscillations in individual isolated yeast cells
Assays: Detailed kinetic model of yeast glycolytic oscillation, Metabolite concentrations in yeast glycolytic oscillations, Modelling sustained glycolytic oscillations in individual isolated yeast...
Snapshots: No snapshots
Submitter: Katy Wolstencroft
Biological problem addressed: Model Analysis Type
Investigation: Yeast Glycolytic Oscillations
Organisms: No organisms
Models: Sustained glycolytic oscillations in individual..., Sustained glycolytic oscillations in individual..., Sustained glycolytic oscillations in individual..., Sustained glycolytic oscillations in individual...
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Creator: Franco du Preez
Submitter: Franco du Preez
Investigations: Yeast Glycolytic Oscillations
Studies: Sustained glycolytic oscillations in individual...
Assays: 1 hidden item
Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson4) predicts the steady-state ...
Creators: Franco du Preez, Jacky Snoep, Dawie van Niekerk
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Saccharomyces cerevisiae
Investigations: Yeast Glycolytic Oscillations
Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson1) predicts the limit ...
Creators: Franco du Preez, Jacky Snoep, David D van Niekerk
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Saccharomyces cerevisiae
Investigations: Yeast Glycolytic Oscillations
Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson2) predicts the damped ...
Creators: Franco du Preez, Jacky Snoep, David D van Niekerk
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Saccharomyces cerevisiae
Investigations: Yeast Glycolytic Oscillations
Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson3) predicts the steady-state ...
Creators: Franco du Preez, Jacky Snoep, David D van Niekerk
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Saccharomyces cerevisiae
Investigations: Yeast Glycolytic Oscillations
Abstract (Expand)
Authors: , David D van Niekerk, Bob Kooi, Johann M Rohwer,
Date Published: 21st Jun 2012
Publication Type: Not specified
PubMed ID: 22712534
Citation:
Abstract (Expand)
Authors: , David D van Niekerk,
Date Published: 13th Jun 2012
Publication Type: Not specified
PubMed ID: 22686585
Citation:
Abstract (Expand)
Authors: Anna-Karin Gustavsson, David D van Niekerk, Caroline B Adiels, , Mattias Goksör,
Date Published: 23rd May 2012
Publication Type: Not specified
PubMed ID: 22607453
Citation: