Overview
Cells are networks. We model them so you can predict how a system responds to change.
Salient features
- Constraint-based and kinetic models
- Network topology and module analysis
- Integrating several omics layers
Analyses we offer
Systems Biology
Builds, simulates and analyses models of metabolic and signalling systems.
Methods: cobrapy, libsbml, tellurium.
Metabolic engineering
Uses genome-scale models to predict gene knockouts and strategies that improve product yield.
Methods: cobrapy, cameo.
Multi-omics integration
Combines genomic, transcriptomic, proteomic and metabolomic layers to find shared drivers of variation.
Methods: MOFA2, mixOmics, muon.
Biological network analysis
Builds and analyses interaction networks to find hubs, modules and key nodes.
Methods: cytoscape, networkx, igraph.
What you receive
- A written report with methods, parameters and interpretation
- Processed data tables and publication-quality figures
- Scripts and settings so every result can be reproduced
Not sure which analysis fits your data? Contact us and we will advise.