SPECIALIZED
Did my gene edit integrate, and how many copies?
Verify transgene integration and quantify copy number with confidence. Ratio calculations that spreadsheets make error-prone.
Your workflow in 5 steps
Define → Design → Execute → Analyze → Report
Define
Define target locus and single-copy reference assay
Specify your target transgene and select a validated single-copy reference for ratio calculation.
Design
Set up duplex or singleplex reactions with calibrator samples
Design your CNV assay with proper calibrators and known copy-number standards.
Execute
Run with sufficient replicates for statistical power
Run your CNV assay with biological and technical replicates for robust statistics.
Analyze
Target/reference ratio calculation, copy number calling
Automated ratio calculations with confidence intervals. Copy number calls, not just raw numbers.
Report
CNV call report per sample with confidence intervals
Clear copy number calls with confidence intervals and statistical support for each sample.
What you're doing today
- Ratio calculations in Excel are error-prone and hard to reproduce
- No built-in confidence intervals - just raw numbers without statistical context
- Calibrator management is manual (tracking known copy-number standards across experiments)
- Distinct analysis from expression work but forced into the same generic tools
Error-prone ratio calculations in Excel - no reproducibility
No CI raw numbers without confidence intervals
Wrong tool expression tools repurposed for CNV - not fit for purpose
Why Clarida
Purpose-built CNV analysis
Not expression analysis repurposed for ratios. A dedicated workflow for copy number.
Statistical confidence
Copy number calls with confidence intervals, not just raw ratios.
Same familiar workflow
DDEAR steps you already know, applied to a different question.
Who this is for
- Cell line engineers verifying CRISPR edits
- Gene therapy researchers checking vector integration
- Agricultural biotech / GMO detection labs
- Anyone asking "how many copies of my construct integrated?"
Related use cases
Popular with pharma R&D teams and gene editing labs
Ready to get started?
Free to start. No credit card. Export your data anytime.