• ClaridaClarida
Experiment workflows
  • qPCR
Tools
  • Concentration converter
  • Plate homogeneity
  • Lab workbooks

Experiment workflows

From scientific question to report

qPCR
Design, execute, analyze, and report qPCR experiments
  • • Experiment design
  • • Data analysis
  • • MIQE-compliant reports
dPCR
Planned
Absolute quantification with digital PCR technology
  • • Counting with Poisson correction
  • • Absolute copy numbers
  • • Rare variant detection

Tools

Standalone tools for specific tasks

Concentration converter
Convert between mass, molar, and copy number concentrations
  • • Mass ↔ Moles ↔ Copies
  • • Digital PCR (λ, cpp)
  • • Organism templates
Plate homogeneity
Identify edge effects and spatial bias in plate data
  • • Edge effect detection
  • • CV & uniformity metrics
  • • Exportable reports
Lab workbooks
Download ready-made workbooks or enhance your own
  • • Starting templates
  • • Interactive tools
  • • Visual structure editing
Reference gene finder
Planned
Identify the most stable reference genes for qPCR normalization
  • • geNorm M-value ranking
  • • Optimal gene count (V-value)
  • • Ct data import

Resources

Background reading for context

The Clarida manifesto
Our philosophy on fixing the PCR workflow
The PCR workflow problem
How Clarida addresses fragmentation in PCR workflows
Functional qPCR instrument validation
Method for validating qPCR instrument performance