Use cases
Your research question changes. The workflow doesn't.
Five qPCR workflow types. One platform. Every workflow built to MIQE standards by the scientists who wrote them — from design to publication-ready results.
Every workflow built on peer-reviewed methods — the same team that co-authored MIQE, created geNorm, and built qbase+.
Most qPCR labs use three or more disconnected tools to get from raw Cq values to a reportable result — a spreadsheet for normalization, a separate tool for geNorm, and another for figures. Clarida consolidates five qPCR experiment types into one MIQE-compliant workflow: gene expression analysis, reference gene validation, quality control, biomarker validation, and copy number variation. Each follows the same five-stage DEAR process, adapted to the specific statistical requirements of that experiment type.
Most qPCR labs spend more time normalizing data across tools than interpreting it — gene expression and biomarker workflows in Clarida run efficiency-corrected ΔΔCq, geNorm reference gene validation, and MIQE-compliant reporting in a single pipeline.
Is my candidate gene upregulated in treated vs. control samples?
From hypothesis to publication-ready fold-change data in a single workflow.
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.
A single unstable reference gene or undetected batch effect can invalidate months of RT-qPCR data — Clarida enforces validation checks at every step so quality issues surface before they reach publication.
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.
Is there batch-to-batch variation in my cDNA synthesis?
Catch problems at the source, not after months of downstream work. Monitor consistency across batches, runs, and operators.
Copy number variation and other specialized qPCR analyses require ratio statistics and confidence intervals that expression-analysis spreadsheets were never designed to handle — Clarida provides purpose-built workflows for each.
5 more workflows in development
Tell us which one matters most to your lab.
Expression & profiling
Validation & QC
Specialized