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Tumor–Normal & Liquid Biopsy Bioinformatics | Low-VAF Somatic, ctDNA/MRD, Reporting

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Clinical & Translational Bioinformatics / Precision Medicine >> Tumor–Normal & Liquid Biopsy Bioinformatics | Low-VAF Somatic, ctDNA/MRD, Reporting

Tumor–Normal & Liquid Biopsy Bioinformatics — Hands-on

Master bioinformatics for oncology across tissue and plasma. This module covers tumor–normal and tumor-only study designs, low-VAF somatic calling with UMIs, ctDNA/fragmentomics and MRD tracking, CHIP filtering, and clinical reporting (TMB/MSI, actionability) with robust QC for audits.

Tumor–Normal & Liquid Biopsy Bioinformatics
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Session 1
Fee: Rs 15920
Study Designs: Tumor–Normal vs Tumor-Only
  • Design choices & trade-offs
  • matched normals panel-of-normals (PoN) tumor-only caveats
  • Somatic vs germline disambiguation
  • population AF, gnomAD artifact & CHIP flags clonality cues
  • Tumor content & purity
  • purity/ploidy impacts sampling/FFPE effects QC checkpoints
Session 2
Fee: Rs 20120
Somatic Calling & Low-VAF/UMI Pipelines
  • Callers & error suppression
  • Mutect2 / Strelka2 / VarDict UMI consensus & duplex artifact blacklists
  • Low VAF tuning & QC
  • depth, LOD, filters strand bias & context PoN & orientation
  • TMB/MSI & signatures (overview)
  • coverage constraints panel calibration report thresholds
Session 3
Fee: Rs 24320
Liquid Biopsy (ctDNA) , MRD & Fragmentomics
  • ctDNA pipelines & metrics
  • UMI depth & family size limit of detection plasma QC
  • MRD strategies
  • tumor-informed vs naive track sets & thresholds time-series QC
  • Fragmentomics & CHIP filtering
  • fragment length patterns DNase footprints (overview) CHIP gene lists & normals
Session 4
Fee: Rs 29920
Reporting, QC & Longitudinal Tracking
  • Clinical reporting (somatic)
  • tiers & actionability TMB/MSI notes limitations/LOQ
  • QC, validation & audits
  • precision/accuracy LoD/MRD thresholds documentation/SOPs
  • Longitudinal dashboards
  • time-series trends alerting rules EHR integration (FHIR)


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