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Capstone End-to-End Microbiome Project Training | From Study Design to FAIR Outputs

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Microbiome, Metagenomics & AMR Surveillance >> Capstone End-to-End Microbiome Project Training | From Study Design to FAIR Outputs

Capstone: End-to-End Microbiome Project — Hands-on

Bring together everything you learned across microbiome, metagenomics and AMR analytics in one end to end capstone. You will scope a realistic project, design the analysis, implement pipelines for amplicon or shotgun data, apply statistics and machine learning where appropriate, and prepare publication and FAIR ready outputs and documentation.

Capstone: End-to-End Microbiome Project
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Session 1
Fee: Rs 8800
Project Scoping & Study Design
  • Selecting a capstone use case and framing questions
  • clinical, environmental or industrial scenarios primary and secondary analysis questions hypotheses, endpoints and constraints
  • Study design, metadata model and data audit
  • group structure, replication and covariates MIxS aligned metadata checklist data quality scan and gap identification
  • Analysis plan and workflow sketch for the project
  • amplicon or shotgun pipeline choices diversity, differential and network analyses timeline, checkpoints and risk management
Session 2
Fee: Rs 11800
Pipeline Implementation & QC
  • Raw read processing and quality control for the project
  • trimming, filtering and contaminant checks negative and positive control evaluation run level QC plots and decisions
  • Taxonomic and functional profiling or MAG pipeline
  • feature tables, taxonomy and pathway tables resistome or virome layers if relevant pipeline logging and parameter capture
  • Normalisation, filtering and data readiness for modeling
  • compositional aware transforms and offsets prevalence and sparsity decisions project data objects ready for analysis scripts
Session 3
Fee: Rs 14800
Ecological, Functional & ML Insights
  • Diversity, ordination and differential abundance views
  • alpha and beta diversity panels PERMANOVA, constrained ordination and drivers feature level contrasts and effect sizes
  • Functional, resistome or network style summaries
  • pathway, module or AMR profile plots simple co occurrence or correlation networks linking signals back to project questions
  • Optional ML or predictive modeling for the project
  • train test splits and cross validation simple classifiers or regressors where relevant feature importance and interpretation caveats
Session 4
Fee: Rs 18800
Final Deliverables & Presentation
  • Project report and slide deck structure
  • background, methods, results and interpretation
  • Reproducible artefacts and FAIR ready packaging
  • notebooks or scripts with environment files data dictionaries and codebooks submission checklist for archives or journals
  • Deliverables: report, slides and project bundle
  • PDF or HTML project report presentation slides or poster outline data plus code bundle for future reuse


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