Top 7 Tips to Visualize Data in Genetica Viewer
1. Prepare clean input files
- Convert raw data to supported formats (e.g., VCF, BAM, BED).
- Validate files with a validator tool to remove formatting errors and ensure proper headers.
2. Choose the right visualization mode
- Use genome-wide overview for large-scale patterns; switch to locus or gene view for detailed inspection.
- Use multi-track mode to compare samples or data types side-by-side.
3. Optimize track order and grouping
- Place the most important tracks (e.g., variants, expression) near the top.
- Group related tracks (technical replicates, treatments) and collapse less-used groups to reduce clutter.
4. Adjust visual scales and thresholds
- Set appropriate y-axis ranges for coverage/expression to reveal meaningful differences.
- Use filters for allele frequency, quality, or read depth to hide low-confidence signals.
5. Use color and shape consistently
- Assign distinct colors for sample categories (control vs. treatment) and reuse them across sessions.
- Use shape or thickness to encode additional attributes (e.g., variant impact).
6. Annotate and link out
- Add gene/feature annotations to interpret peaks or variant clusters.
- Link variants to external databases (ClinVar, dbSNP) or literature for quick context.
7. Export configurable snapshots and data
- Export high-resolution images (PNG/SVG) for figures and PDF for reports.
- Export filtered BED/VCF subsets for downstream analysis or sharing.
Optional quick checklist:
- File formats validated ✔
- Visualization mode chosen ✔
- Tracks ordered & grouped ✔
- Scales set & filters applied ✔
- Color scheme consistent ✔
- Annotations linked ✔
- Exports created ✔
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