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🧬 refCNV.org Overview & Use Cases (v2)

refCNV.org provides curated CNV (Copy Number Variation) profiles derived from reference samples, including analyses from multiple pipelines (e.g., DRAGEN-CNV, PennCNV, QuantiSNP). It supports exploratory analysis, visualization, and comparison of CNV data across tools and platforms.

🚧 Note: This platform is under development and should not be used for clinical or publication purposes at this stage.


🌐 Homepage Overview

Homepage

The homepage introduces the concept of regional CNV profiling using reference samples from large projects like the 1000 Genomes. It shows typical frequency plots (e.g., for DRAGEN-CNV) with summary visualizations of gains (orange) and losses (blue).


πŸ“Š Use Case 1: Compare CNV Profiles Across Pipelines

Explore how different CNV calling pipelines produce divergent results for the same sample set.

Pipeline UI

  • Select refCNV - germline reference CNVs
  • Choose pipelines: DRAGEN, EnsembleCNV, QuantiSNP, PennCNV, iPattern
  • Generate output in heatmap, histogram, or sparkline formats

Pipeline Heatplot

Pipeline Heatplot

Pipeline Heatplot

πŸ“Š Use Case 2: Explore Pipeline-Specific Datasets

Use the "Analysis Pipelines" section to browse and visualize all samples processed by a specific CNV calling pipeline.

Pipeline Overview

  • Panel A: Select any listed pipeline (e.g., DRAGEN, EnsembleCNV)
  • Panel B: View CNV histogram for that pipeline and access download links for SVG and data files
  • Inspect sample counts, data origin, and direct search for specific entries

πŸ“Š Use Case 3: Platform-Based CNV Exploration

Use the β€œArray and Sequencing Platforms” panel to explore CNV patterns derived from specific microarray or sequencing technologies.

Platform View

  • Panel A: Choose a platform subset (e.g., Affymetrix, Illumina, BAC arrays)
  • Panel B: Generate CNV frequency histograms across selected platforms
  • Adjust settings like histogram height or line width before plotting

πŸ’‘ Interpretation Tips

  • Pipelines differ in CNV calling sensitivity and precision
  • Platforms contribute inherent variability due to probe density and noise
  • Use comparative plots to benchmark tools and choose references

πŸ› οΈ Additional Use Cases

  • Single Sample CNV Track Viewer
    Visualize one sample across all pipelines

  • Cohort CNV Signature Construction
    Create merged profiles by disease or sample group

  • Batch Normalization Evaluation
    Compare groups to detect CNV call shifts caused by preprocessing


πŸ“š Resources


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