Loading Video...
NTHRYS
Arrow

Pathway Knowledgebases & Curation Practices Training | KEGG, Reactome, BioCyc & Enrichment

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Medicine & Pathway Modeling >> Pathway Knowledgebases & Curation Practices Training | KEGG, Reactome, BioCyc & Enrichment

Pathway Knowledgebases & Curation Practices — Hands-on

Learn how to navigate, curate and operationalise major pathway knowledgebases. This module focuses on KEGG, Reactome, BioCyc and allied resources, covering practical curation, identifier mapping and enrichment workflows that feed directly into systems biology and network medicine analyses.

Pathway Knowledgebases & Curation Practices
Help Desk · WhatsApp
Session 1
Fee: Rs 8800
Landscape of Pathway Databases & Ontologies
  • Major pathway resources and their strengths
  • KEGG Reactome BioCyc / WikiPathways
  • Ontology ecosystem around pathways
  • GO Biological Process Reactome hierarchy disease and phenotype ontologies
  • Access models and APIs
  • web interfaces REST APIs R / Python clients
Session 2
Fee: Rs 11800
Curation, Annotation & Identifier Mapping
  • Curation workflows from literature and omics hits
  • evidence grading inclusion and exclusion criteria versioned change logs
  • Identifier harmonisation across resources
  • Ensembl / Entrez / UniProt HGNC gene symbols mapping tables and pitfalls
  • Annotation templates and data models
  • pathway membership tables metadata fields (PMID, species, tissue) FAIR annotation guidelines
Session 3
Fee: Rs 14800
Pathway Enrichment & Network-Level Analytics
  • Over representation and GSEA style methods
  • ORA / hypergeometric tests GSEA style workflows multiple testing control
  • Pathway topology and network aware scores
  • centrality measures bottlenecks and hubs subnetwork extraction
  • Toolchain for enrichment and visualisation
  • clusterProfiler / fgsea g:Profiler / Enrichr Cytoscape maps
Session 4
Fee: Rs 18800
Mini Capstone: Curated Pathway Panel for a Study
  • Select and refine a pathway panel for a real dataset
  • Theory + Practical
  • Build enrichment ready gene set files and metadata
  • GMT / GPML style exports version and provenance tracking documentation of assumptions
  • Deliverables for downstream systems biology modeling
  • curated pathway list and mapping tables enrichment summary plots FAIR oriented README


PDF