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Systems Biology Foundations & Mathematical Modeling Training | Network Models, ODEs, Simulations

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Modeling & Pathway Informatics >> Systems Biology Foundations & Mathematical Modeling Training | Network Models, ODEs, Simulations

Systems Biology Foundations & Mathematical Modeling — Hands-on

Develop a strong foundation in systems biology and quantitative modeling. Learn how to represent biological processes as networks and equations, build ODE-based models, analyze stability and steady states, and run simulations using open-source tools for real-world omics and pathway data.

Systems Biology Foundations & Mathematical Modeling
Help Desk · WhatsApp
Session 1
Fee: Rs 8800
Systems Thinking & Biological Networks
  • Systems biology principles & levels of organization
    • emergent properties feedback & feedforward robustness & fragility
  • Network representations of biological systems
    • gene regulatory networks signaling & metabolic networks motifs & modules
  • Toolchain for network-centric modeling
    • Python / networkx R / igraph Cytoscape basics
Session 2
Fee: Rs 11800
Mathematical Modeling with ODEs
  • From reactions to equations: mass-action kinetics
    • reaction schemes rate laws nonlinear ODEs
  • Steady states & basic stability concepts
    • equilibria Jacobian intuition phase-plane sketches
  • Implementation toolkit
    • Python / SciPy solve_ivp R / deSolve SBML basics
Session 3
Fee: Rs 14800
Simulation, Stability & Sensitivity
  • Time-course simulation workflows
    • deterministic vs stochastic stiff systems simulation diagnostics
  • Sensitivity analysis & parameter exploration
    • local sensitivity parameter scans uncertainty bands
  • Dedicated modeling tools
    • COPASI workflows CellDesigner views COBRApy preview
Session 4
Fee: Rs 18800
Mini Capstone: Model a Pathway
  • Build an ODE model for a small pathway
    • Theory + Practical
  • Simulate, analyze and interpret dynamics
    • time-course plots perturbation scenarios stability commentary
  • Deliverables: notebook, model file & report
    • Python/R notebook SBML / COPASI file PDF/HTML summary


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