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Network Theory, Graph Construction & Topological Measures Training | Centrality, Communities, Topology

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Modeling & Pathway Informatics >> Network Theory, Graph Construction & Topological Measures Training | Centrality, Communities, Topology

Network Theory — Graph Construction & Topological Measures — Hands-on

Gain a practical, systems-level understanding of network theory for biology. This module walks you from graph fundamentals and network construction from omics data to computing and interpreting topological measures, centralities, communities, and robustness indicators for real biological networks.

Network Theory — Graph Construction & Topological Measures
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Session 1
Fee: Rs 8800
Graph Basics & Network Types
  • Graph theory foundations for biology
  • nodes, edges, degree paths, walks, cycles directed vs undirected
  • Types of biological networks
  • PPI & co-expression networks metabolic & pathway graphs gene regulatory networks
  • Representations & data structures
  • adjacency matrices & lists edge tables weighted & signed edges
Session 2
Fee: Rs 11800
Graph Construction from Biological Data
  • Building networks from omics & interaction data
  • co-expression thresholds correlation & mutual information PPI & STRING integration
  • Cleaning, filtering & weighting edges
  • confidence scores edge pruning & sparsity multi-layer networks preview
  • Implementation toolkit for graph building
  • Python / networkx R / igraph Cytoscape I/O (SIF, GraphML)
Session 3
Fee: Rs 14800
Topological Measures & Centralities
  • Global network topology metrics
  • degree distribution clustering coefficient path length & small-world
  • Node centralities & hubs/bottlenecks
  • degree & betweenness closeness & eigenvector PageRank & influence scores
  • Communities, modules & enrichment hooks
  • Louvain / Leiden clustering module detection in Cytoscape link to GO/pathway enrichment
Session 4
Fee: Rs 18800
Mini Capstone: Analyze a Biological Network
  • Construct and analyze a PPI or pathway network
  • Theory + Practical
  • Compute key metrics & identify hubs/modules
  • centrality ranking tables community visualization biological interpretation
  • Deliverables: scripts, network files & summary
  • Python/R notebook GraphML / SIF / CSV PDF/HTML network report


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