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Pathway Enrichment & Metabolic Network Mapping Training | Pathways, Topology & Networks

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Metabolomics, Lipidomics & Fluxomics >> Pathway Enrichment & Metabolic Network Mapping Training | Pathways, Topology & Networks

Pathway Enrichment & Metabolic Network Mapping — Hands-on

Learn how to move from statistically significant metabolite and lipid features to pathway level and network level biological interpretation. This module focuses on mapping identifiers, running pathway enrichment, applying topology aware methods and building metabolic networks so that your metabolomics results translate into clear, defensible biological stories.

Pathway Enrichment & Metabolic Network Mapping
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Session 1
Fee: Rs 8800
Pathway Databases & Metabolite Mapping
  • Pathway resources for metabolomics and lipidomics
  • KEGG, Reactome, BioCyc SMPDB and small molecule maps strengths and limitations
  • Identifier cleanup and cross mapping
  • InChIKey, HMDB, KEGG IDs ChEBI, PubChem and synonyms resolving duplicates and isomers
  • Preparing feature lists for enrichment tools
  • selecting significant features fold change and p value thresholds background sets and universes
Session 2
Fee: Rs 11800
Enrichment Methods & Significance
  • Over representation and enrichment analysis basics
  • contingency tables and p values hypergeometric and Fisher tests multiple testing corrections
  • MetaboAnalyst and similar tools in practice
  • upload formats and mapping choosing organism and libraries reading enrichment result tables
  • Communicating significance and robustness
  • q values and adjusted p values effect size and hit ratios sensitivity analyses and caveats
Session 3
Fee: Rs 14800
Topology, Networks & Multi Omics Context
  • Pathway topology and impact scores
  • node centrality concepts degree, betweenness, closeness topology based pathway impact
  • Building and visualizing metabolic networks
  • metabolite reaction graphs Cytoscape and similar tools node attributes and styling
  • Placing metabolomics into multi omics context
  • linking genes, proteins and metabolites overlaying transcriptomics or proteomics network modules and sub pathways
Session 4
Fee: Rs 18800
Mini Capstone: From Features to Pathways
  • Constructing a full pathway analysis workflow
  • from feature table to enriched pathways
  • Summarizing results as clear biological stories
  • key pathways and direction of change linking to figures and tables limitations and alternative explanations
  • Deliverables: pathway table, network figure & methods text
  • ranked pathway enrichment table exported network visualization ready to edit methods paragraph


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