scientists, measurements, understandable results


  • microRNA 
  • messenger RNA 
  • long non-coding RNA 

Accelerate your research and biomarker
discoveries using our transcriptome sequencing services 



scientists, measurements, understandable results


approved for all sample types,
including body fluids

  • microRNA sequencing
  • qPCR expression analysis

Transcriptome services


  • From discovery to validation of biomarkers
  • From experiment design to interpretation
  • Coding and non-coding RNA


Understanding the transcriptome

At Biogazelle we are dedicated to accelerate the understanding of the transcriptome through excellence in science and technology. 

We carefully select the best analytical platforms to offer customized RNA gene expression services. We develop data-analysis software tools to generate understandable results. 

We are a young and dynamic company, eager to learn and to teach.


Biogazelle's solutions

Laboratory services

Our service lab activities support the life science market at every level of the entire process: from discovery to validation of biomarkers, from optimal experiment design to extensive analysis and interpretation of results, from PCR assay design to research-use-only kits.

Learn more

qbase+ software

qbase+ is the most powerful, flexible, and user-friendly real-time PCR data-analysis software.

qbase+ is developed by experts for qPCR users belonging to all experience levels.

The software is packed with features that take you to highest quality results.

Learn more

Education and training

Biogazelle organizes training and provides knowledge for qPCR users of all experience levels.

Focused 2-day qPCR courses cover the fundamental and advanced principles of experiment design and data-analysis.

Webinars cover different PCR-related topics.

Learn more

Current topics


RT @PrimerdesignLtd: Literally 2 spaces left for our 2 day #qPCR course. RT to your colleagues
26/09/2014 - 20:09
@BioRadGenomics Also read our blog on using the same #PrimePCR data to benchmark #RNA-seq sensitivity
24/09/2014 - 20:59