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Untargeted Metabolomics Discovery Pipelines Training | LC MS Feature Matrices & Discovery Statistics

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Metabolomics, Lipidomics & Small-Molecule Omics >> Untargeted Metabolomics Discovery Pipelines Training | LC MS Feature Matrices & Discovery Statistics

Untargeted Metabolomics Discovery Pipelines — Hands-on

Design and run complete untargeted metabolomics discovery pipelines. You will connect LC MS feature extraction, QC and normalization with multivariate statistics, hit selection and annotation ready outputs that support biological discovery and follow up validation.

Untargeted Metabolomics Discovery Pipelines
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Session 1
Fee: Rs 8800
Untargeted Workflow Overview & Data Flow
  • Goals of untargeted metabolomics discovery
  • pattern discovery biomarker hypothesis generation mechanistic clues
  • End to end pipeline building blocks
  • raw to mzML to feature table QC and normalization statistics and annotation loop
  • Data model and file organization for projects
  • raw data and processed data folders metadata sheets analysis notebooks and reports
Session 2
Fee: Rs 11800
Feature Matrices, QC & Normalization
  • From feature tables to analysis ready matrices
  • samples by features layout linking to sample metadata basic completeness checks
  • Quality checks using QC and blanks
  • RSD filters on pooled QC blank subtraction rules intensity drift patterns
  • Normalization and transformation options
  • total area and probabilistic quotient internal standard based log and scaling choices
Session 3
Fee: Rs 14800
Multivariate Statistics & Hit Finding
  • Exploratory analysis and batch assessment
  • PCA score plots QC clustering outlier detection
  • Supervised models for group separation
  • PLS DA style thinking cross validation awareness overfitting pitfalls
  • Feature ranking and candidate hit lists
  • univariate tests and FDR effect sizes and fold changes multi metric ranking tables
Session 4
Fee: Rs 18800
Annotation, Reporting & Review
  • Preparing feature lists for annotation tools
  • export formats and required columns
  • Visual summaries for stakeholders
  • volcano plots heatmaps pathway level summaries
  • Documenting pipeline and decisions
  • parameter manifests notebooks and reports checklist for internal review


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