VALIDATION & QC

Which reference genes are most stable across my tissue panel?

Stop assuming your reference genes are stable. Prove it with geNorm - built by its author.

Your workflow in 5 steps

Define → Design → Execute → Analyze → Report

1

Define

Select 8–12 candidate reference genes from literature

Choose a panel of candidate genes based on your organism and tissue type.

2

Design

Design a tissue panel plate across all sample types

Layout your candidate genes across all tissue types and conditions in a single plate design.

3

Execute

Run across all tissue types and import results

Run your validation panel and import results from any major instrument.

4

Analyze

geNorm M-value stability ranking, pairwise variation

The gold-standard geNorm algorithm ranks your candidates by expression stability. Built by its author, Jan Hellemans.

5

Report

Validated reference gene panel report

Publication-ready stability report with M-values, pairwise variation, and optimal number of reference genes.

What you're doing today

  • Using "housekeeping genes" without validating their stability
  • Running geNorm in separate software, then manually transferring results
  • Growing reviewer pushback on unvalidated reference gene choices
  • No systematic way to compare stability across tissue panels

70% of studies use unvalidated reference genes

3+ tools needed for separate geNorm analysis

Growing reviewer demand for validation evidence

Why Clarida

geNorm built in

The gold-standard algorithm, not a bolt-on. 20,000+ citations, built by its author.

MIQE-compliant validation

Reference gene validation that meets the standard your reviewers expect.

Integrated, not isolated

Validation results feed directly into your expression analysis. No export-import-copy-paste cycle.

geNorm - 20,000+ citations. Built by its author, Jan Hellemans.

Who this is for

  • Any researcher who normalizes qPCR data to reference genes
  • Labs publishing in journals that require MIQE compliance
  • Core facilities establishing validated reference gene panels

Ready to get started?

Free to start. No credit card. Export your data anytime.