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LinRegPCR and Biogazelle’s qbasePLUS Speak RDML to Process qPCR Data

Published: Monday, October 08, 2012
Last Updated: Monday, October 08, 2012
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Offers a flexible solution for data-analysis rendering true confidence in the final results.

While the practical performance of a quantitative PCR experiment is relatively straightforward, many users struggle with the data-analysis.

It is therefore not surprising that user-friendly software tools emerged and became indispensible for data handling. Such tools help applying validated procedures and guide the experimenter to highest quality results.

In 2009, the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines were introduced to ensure the relevance, accuracy, correct interpretation and repeatability of qPCR experiments.

Biogazelles’s qbasePLUS is the only third party qPCR data-analysis software that is MIQE compliant.

qbasePLUS offers a flexible solution for data-analysis rendering true confidence in the final results.

The software can also import and export RDML data files. According to the MIQE guidelines, the open RDML file format is a recommended option and is becoming the industry standard for qPCR data exchange and storage.

As of today, this RDML format enables the communication between LinRegPCR and qbasePLUS.

LinRegPCR is an independent program for primary analysis of raw qPCR data. It calculates Cq and PCR efficiency values based on fluorescent amplification curves.

Jan Ruijter and colleagues first launched LinRegPCR in 2003, for the analysis of quantitative PCR data based on PCR efficiency values derived from individual amplification curves (so-called single curve efficiency estimation).

As of today, LinRegPCR can export raw data, baseline, efficiency values, Fq and Cq values to RDML.

Such an RDML file can easily be imported in qbasePLUS, combining raw qPCR data processing (from LinRegPCR) with relative quantification and statistical analysis (in qbasePLUS) in a continuous workflow.


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