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Gene Quantification
Q1 / 2018

is sponsored by

    Dear researcher,
dear Gene Quantification page reader,

Our newsletter informs about the latest news in gene expression profiling using qPCR, dPCR, NGS, and related methods, which are compiled and summarised on www.Gene-Quantification.info

The focus of this qPCR NEWS issue is:


Streaming portal  

Join the updated
eConferences streaming webportal
www.eConferences.de -- Amplify your knowledge in  qPCR, dPCR and NGS !
Free access to over 350 recorded talks. This streaming portal is dedicated to scientists from the community of qPCR, digital PCR, Next Generation Sequencing (NGS), MicroGenomics (MG) and Molecular Diagnostics (MDx). You’ll find here all the records of 350 presentations held at qPCR dPCR & NGS and MG Events in the past years qPCR 2010 in Vienna - qPCR dPCR & NGS 2017 in Freising-Weihenstephan.
We provide the presentations via movie streaming technology in high quality – high resolution and perfect sound quality in high speed – on any internet browser or mobile device.


NGS, qPCR & dPCR Event
in Sydney, Australia

dPCR Event
in Ghent, Belgium

Single Cell Europe 2018
Prague, Czech  Republic


NGS, qPCR & dPCR Event in Sydney, Australia

Confirmed Speakers Include:

  • Prof Carl Wittwer - Professor of Pathology at the University of Utah Medical School and adjunct professor of BioMedical Engineering at the University of Utah. Inventor of SYBR Green qPCR and HRM
  • Dr Jan Ruijter - Inventor of LinReg PCR
  • Prof Michael W. Pfaffl - Life Science Center Weihenstephan, Technical University, Munich, Germany. Inventor of REST Analysis

Enjoy the Taronga Centre's boutique dining and million dollar views, while listening to the latest developments in:

  • qPCR and NGS
  • qPCR Inhibition
  • qPCR data analysis
  • Extreme qPCR
  • HSM (High Speed Melting Analysis)
  • HRM (High Resolution Melt Analysis)
  • Highly multiplex qPCR tests
  • Multiplex-Tandem PCR
  • Coupling PCR to single-molecule digital counting
  • Digital PCR
  • Efficiency determination (standard curve vs linear regression analysis)
  • 3 base qPCR
  • Register here

Mini-symposium on digital PCR
May 15, 2018    09:30 - 16:30
Auditorium E (entrance 32),  Campus UZ Ghent,  Corneel Heymanslaan 10,  9000 Ghent,  Belgium

Keynote speaker:  Dr. J. Huggett,  LGC and UCL, UK
Dr Huggett read genetics in Liverpool University followed by a PhD in Cardiff University where he studied the transcription in bone disease. Particularly interested in the application of advanced molecular methods to clinical scenarios he moved to UCL in 2002 to take up a senior research fellow position with Professor Alimuddin Zumla. Here he investigated diagnostic approaches to infectious diseases in developing world settings before moving to LGC in 2009, while retaining an honorary lectureship at UCL, which he still holds. At LGC, which is the UK’s designated national measurement institute role for chemical and bio-analytical measurement, he has led a large number of molecular diagnostics, genomics and nucleic acid research projects. This work focuses on high accuracy measurement as well as strengthening the traceability of measurements that underpin legislation, regulation and standardisation. In 2016 Dr Huggett joined the University of Surrey as a Senior Lecturer and holds a joint appointment with LGC.

Register here


Single Cell Europe Conference
September 19 - 21, 2018

Single cell Europe 2018 is the first specialized meeting for single cell analysis in Central Europe and will be held in BIOCEV (Biotechnology and Biomedicine Center of the Academy of Science and Charles University in Vestec), a modern research and development center within easy reach of the beautiful historical city Prague in the Czech Republic.
You will hear presentations from world leading scientists from various areas in the single cell field, innovative companies exhibiting latest products and technologies for single cell analysis and you can join hands-on training on single cell expression profiling getting opportunity to test state-of-the-art technologies. It is also excellent opportunity for networking and finding collaborators in this rapidly developing field.

Programm, Speakers, Social Events, Accommodation, Location, etc.



MicroRNA Analysis -- Learn how to extract and analyze miRNA with appropriate techniques!

Target audience:   Researchers interested in analyzing microRNA.
Entrance qualifications:   Basic knowledge about microRNA and molecular analyses.

Description:  This course (2 days miRNA analysis) introduces miRNA including its variant forms. Methods to extract and purify microRNA and prepare it for analysis including quality control. Methods for microRNA expression analysis are presented and compared, to learn how to too choose the best method for each study. Analysis of microRNA data is also discussed including challenging normalization.








9th Gene Quantification Event


qPCR dPCR & NGS 2019
9th international Gene Quantification Event
Symposium  &  Industrial Exhibition  &  Application Workshops
18 - 22 March 2019,  in Freising-Weihenstephan, School of Life Sciences, Technical University of Munich, Weihenstephan, Germany


Streaming Server


Free access to all talks presented at the 8th Gene Quantification Event -- qPCR dPCR & NGS 2017 Event:

Now we provide public free access to all the recorded talk presentations!

8th Gene Quantification Event -- qPCR dPCR & NGS 2017
“Liquid Biopsy, Integrative Big Data Analysis, Biomarker Signature … and beyond“


Around 350 symposium talks are now ready for viewing on our eConferences webportal.
starting 2010 in Vienna to our latest meeting in Freising – Weihenstephan in April 2017,

Event Sessions:

– Liquid Biopsy & Exosomes
– Liquid Biopsy & Molecular Diagnostics Session – Session 1 & 2
– NGS Integrative Big Data Analysis
– qPCR Data Analysis
– Digital PCR -- Session 1 & 2
– Non-coding RNAs -- microRNA, isomiRs, small RNAs, long non-coding RNAs
– MicroGenomics & Single-Cells Diagnostics
– Next Generation Sequencing (NGS)
– MIQE & qPCR Quality Control
– Technical Lunch-time Seminars

=> www.eConferences.de/qPCR-2017/


GenEx 6.1

The most powerful tool for complex qPCR data analysis


GenEx offers advanced methods to analyze real-time qPCR data with simple mouse clicks

GenEx is the most popular software for qPCR data processing and analysis. Built in a modular fashion GenEx provides a multitude of functionalities for the qPCR community, ranging from basic data editing and management to advanced cutting-edge data analysis. GenEx 6.1 – the software compliant with MIQE and CLSI guidelines.

TATAA Biocenter, Europe´s leading provider of genomic services using quantitative real-time PCR (qPCR), and MultiD Analyses, Europe’s prime software developer for the analysis of multivariate data, release GenEx version 6 for accurate qPCR data analysi, compliant with current MIQE guideline and Clinical Laboratory Standards Institute (CLSI) guideline.


GenEx 6.1

international GenEx software presentations


Listen to GenEx presentations:

GenEx 6.1

Compliant with MIQE and CLSI guidelines


Basic data editing and management
Arguably the most important part of qPCR experiments is to pre-process the raw data into shape for subsequent statistical analyses. The pre-processing steps need to be performed consistently in correct order and with confidence. GenEx Standard’s streamlined and user-friendly interface ensures mistake-free data handling. Intuitive and powerful presentation tools allow professional illustrations of even the most complex experimental designs.

Advanced cutting-edge data analysis
When you need more advanced analyses GenEx Enterprise is the product for you. Powerful enough to demonstrate feasibility it often proves sufficient for most users demands. Current features include parametric and non-parametric statistical tests, Hierarchical Cluster Analysis (HCA), Heatmap, Principal Component Analysis (PCA, and Artificial Neural Networks. New features are continuously added to GenEx with close attention to customers’ needs.

New features
Sample handling and samples individual biology often contribute to confounding experimental variability. By using the new nested ANOVA feature in GenEx version 5 user will be able to evaluate variance contributions from each step in the experimental procedure. With a good knowledge of the variance contributions, an appropriate distribution of experimental replicates can be selected to minimize confounding variance and maximize the power of the experimental design! For experiments with complex features, such as for example multifactorial diseases, analytical relationships and classifications may not readily be available. The support vector machine feature in the new version of GenEx is so easy to use that it will make this advanced supervised classification method easily available to novice users, while providing access to advanced parameters for experts.

View our webpage and download a FREE GenEx 6.1 trial version => GenEx.gene-quantification.info



Best regards,

Michael W. Pfaffl
responsible Editor of the Gene Quantification Pages



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