Leading qPCR data analysis software


Easy, fast and reliable qPCR data analysis software

Developed for scientists by scientists, qbase+ is user-friendly software for qPCR data analysis. It's based on the qBase and geNorm technologies and is fully MIQE-compliant.

Want to know more about qbase+? Watch the screencast.

Discover our flexible licensing options, starting at 199 EUR.

qbase+ is unique


Analysis wizard

Guides you through the different steps to perform reliable analysis of your qPCR data. Real A-to-Z approach: from data import to interpretable results


Statistics wizard

Takes you in four steps to the most relevant statistical test for your experiment design. The user does not require any knowledge about bio-statistics.


geNorm reference gene analysis

Improved version of the classic geNorm algorithm (more than 8000 citations). Accurate ranking of reference genes according to their expression stability in your samples. Determination of the optimal number of reference genes to be used in your experiment.


MIQE compliancy

Transparent qPCR data-analysis and reporting, following the MIQE guidelines. Biogazelle’s founders co-authored the MIQE guidelines (more than 2500 citations).


Any operating system

Windows, Mac and Linux


Any qPCR instrument

Bio-Rad, Roche, Life Technologies, Qiagen, Agilent and many more.

How to get a quote?

Please click below if you whish to get a quote for qbase+.

You will be asked to select the license type in which you are interested and you will need to provide your contact details.

A quote will be sent by our purchasing department. 

Buy qbase+ immediately

Please click below if you whish to buy qbase+ immediately. 

You will be asked to select a license type and you will need to provide your contact and invoicing details. You can pay by credit card or by bank transfer.

Your license is available as soon as we receive your payment or a legal purchase order.

Current topics


Finalizing the new website for our RNA diagnostics & therapeutics! @qbaseplus 'll move completely to its own domain https://t.co/ex9Sn888Ql
18/08/2016 - 13:13
RT @pieter_mestdagh: Buried treasures in our genome. How long non-coding RNAs can contribute to the future of medicine. https://t.co/kCquWE
30/07/2016 - 12:21