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Microbial Ecology Networks & Co-occurrence Analysis Training | SparCC, SPIEC-EASI, Modules & Keystones

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Microbiome, Metagenomics & Environmental Bioinformatics >> Microbial Ecology Networks & Co-occurrence Analysis Training | SparCC, SPIEC-EASI, Modules & Keystones

Microbial Ecology Networks & Co-occurrence Analysis — Hands-on

Learn rigorous workflows to build, validate, and interpret microbiome co-occurrence and interaction networks. You'll handle compositionality and sparsity, apply state-of-the-art inference (SparCC, SPIEC-EASI, FlashWeave, CoNet) , compute topology metrics, detect modules and keystone taxa, and relate network structure to phenotypes and environments. Emphasis on robust statistics, reproducibility, and clear reporting for manuscripts and decisions.

Microbial Ecology Networks & Co-occurrence Analysis
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Session 1
Fee: Rs 8800
Foundations, Compositionality & Nulls
  • Why networks? Ecology concepts & pitfalls
  • niche/neutral views association ≠ interaction confounding & covariates
  • Compositional data handling
  • CLR/rCLR, centered log-ratio proportionality (ρ) prevalence filters & zeroes
  • Null models & permutation frameworks
  • frequency/constrained nulls bootstraps & stability multitest FDR control
Session 2
Fee: Rs 11800
Network Inference Methods & QA
  • Association & conditional dependence
  • SparCC / FastSpar SPIEC-EASI (MB/GLASSO) FlashWeave / CoNet
  • Thresholding & edge confidence
  • stability selection FDR/bootstraps signed vs absolute edges
  • Quality assessment
  • degree/weight distributions small-worldness & assortativity artifact checks (depth/batch)
Session 3
Fee: Rs 14800
Community Structure, Keystones & Trait Links
  • Modules & roles
  • Louvain/Leiden communities hubs/bridges (betweenness) keystone candidates
  • Bipartite & multilayer views
  • taxa↔functions (pathways) taxa↔metabolites links trait overlays & phenotypes
  • Network–outcome associations
  • module eigennets vs traits GLMs/mixed models permutation testing
Session 4
Fee: Rs 18800
Dynamics, Visualization & Reproducible Reporting
  • Temporal & differential networks
  • sliding-window networks differential edges (groups) robustness/attack tests
  • Visualization toolchain
  • igraph/networkx Cytoscape/Gephi exports panel-ready figures
  • Reporting & deliverables
  • Quarto notebooks & SOPs tables/graphs + env files limitations & checklists


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