Loading Video...
NTHRYS
Arrow

Spectral Libraries, In Silico Fragmentation & GNPS Training | MS MS Annotation & Molecular Networking

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Metabolomics, Lipidomics & Small-Molecule Omics >> Spectral Libraries, In Silico Fragmentation & GNPS Training | MS MS Annotation & Molecular Networking

Spectral Libraries, In Silico Fragmentation & GNPS — Hands-on

Master MS MS spectral library search, in silico fragmentation and GNPS style molecular networking for small molecule annotation. You will configure library matching, understand scoring and FDR like thinking, run GNPS workflows and integrate annotated networks into untargeted metabolomics and natural products studies.

Spectral Libraries, In Silico Fragmentation & GNPS
Help Desk · WhatsApp
Session 1
Fee: Rs 8800
Spectral Libraries & Reference Data
  • Public and commercial MS MS spectral libraries
  • GNPS style community libraries MassBank and related resources vendor specific collections
  • Spectrum quality and metadata requirements
  • collision energy and polarity fields instrument and acquisition details compound identifiers and structures
  • Organising local project specific libraries
  • curated in house reference spectra versioning and documentation sharing libraries within teams
Session 2
Fee: Rs 11800
In Silico Fragmentation Concepts & Tools
  • Basics of small molecule fragmentation logic
  • common bond cleavages neutral losses and diagnostic ions energy dependence of patterns
  • In silico fragmentation tools and workflows
  • the idea of rule based engines structure input and output spectra matching experimental and predicted spectra
  • Scoring, candidate ranking and limitations
  • cosine like scores intuition decoy and target thinking ambiguity in isomers and analogs
Session 3
Fee: Rs 14800
GNPS Molecular Networking Workflows
  • From MS MS data to GNPS compatible formats
  • exporting mzML and mgf style files metadata tables for GNPS basic pre processing expectations
  • Setting up classical and feature based networks
  • similarity thresholds and minimum peaks library search options analog search concepts
  • Visualising and filtering networks for biology
  • cluster level inspection mapping sample groups and intensities identifying molecular families of interest
Session 4
Fee: Rs 18800
Integrating Library Hits into Studies
  • Annotation levels and confidence reporting
  • library hit versus in silico support analog style annotations linking scores to levels of certainty
  • Combining networks, statistics and pathways
  • mapping significant features on networks connecting to pathway maps prioritising molecular families for follow up
  • Exporting results and documenting workflows
  • tables of hits with scores and metadata network figures for presentations checklists for reproducible annotation pipelines


PDF