PCRrel
PCRrel is a term used to describe a proposed data standard and software framework for organizing polymerase chain reaction (PCR) experiments and results within a relational data model. The core aim is to connect experimental metadata with quantitative outcomes to improve reproducibility, reuse, and reanalysis of PCR data.
- Relational schema: a modular data model that links studies, samples, reagents (including primers and probes), instrument
- Data and results: storage of amplification data such as Ct values, melt curves, end-point measurements, and
- Metadata capture: provenance information including sample origin, treatment conditions, lot numbers, and traceable timing of experiments.
- Hardware and methods: recording of instrument models, thermocycling profiles, ramp rates, and protocol details to enable
- QC and flags: built-in quality control indicators to flag questionable data or outliers.
Architecture and interoperability
- Designed to integrate with existing LIMS and electronic lab notebooks, and to exchange data with external
- Aligns with broader data standards and practices, including MIQE guidelines for PCR reporting and FAIR data
- PCRrel has appeared in discussions about improving PCR data management and reproducibility.
- It has not become a formal international standard; adoption tends to be experimental or institutional, often
- Ongoing community input would be required to advance toward a shared, widely supported standard.