EXPRESSION & PROFILING
Which candidates from my RNA-seq screen actually validate by qPCR?
Bridge the gap between omics discovery and targeted validation. Import your hit list, run confirmatory qPCR, and know which candidates are real.
Your workflow in 5 steps
Define → Design → Execute → Analyze → Report
Define
Select top candidates from omics hit list
Import your RNA-seq or microarray candidates and prioritize targets for qPCR validation.
Design
Validation plate layout with positive and negative controls
Design your validation plate with proper controls for confirmatory qPCR.
Execute
Run targeted qPCR on independent samples
Run your validation panel on biological replicates independent from the original omics screen.
Analyze
Compare fold changes to omics predictions, flag discrepancies
Systematic comparison of qPCR fold changes to omics predictions. Flag candidates that don’t validate.
Report
Validated biomarker panel report with concordance data
Publication-ready report showing which candidates validated, with concordance statistics between platforms.
What you're doing today
- Omics screens produce hundreds of candidates; qPCR validation is manual and slow
- No systematic way to compare fold changes between omics and qPCR results
- Validation data scattered across Excel files, hard to compile into a panel report
- High-urgency timeline - translational labs need validated panels fast
100s of candidates from omics screens need individual qPCR validation
Weeks to compile scattered validation data into a panel report
No link between omics fold changes and qPCR confirmation
Why Clarida
Structured validation workflow
From candidate list to validated panel in a defined process. No ad-hoc spreadsheets.
Concordance tracking
Compare qPCR fold changes to omics predictions systematically. Know which candidates are real.
Publication-ready output
Validated biomarker panel report with statistics that reviewers expect.
Who this is for
- Translational research labs validating RNA-seq or microarray hits
- Pharma teams confirming biomarker candidates from screening
- Labs where "it showed up in the omics" isn’t enough - you need qPCR confirmation
Related use cases
Popular with pharma R&D teams and academic translational labs
Ready to get started?
Free to start. No credit card. Export your data anytime.