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Gene Quantification Newsletter
October 2016

is sponsored by


Streamlined and automated NGS workflow 

  Dear researcher,
dear Gene Quantification page reader,

Our newsletter informs about the latest news in gene expression profiling using qPCR 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!
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 280 presentations held at qPCR & NGS and MG Events in the past years – qPCR 2010 in Vienna  to qPCR & NGS 2015 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.

 Big Data

Big Data in Transcriptomics and Molecular Biology

Recent technological advances allow for high throughput profiling of biological systems at the molecular level in a cost-efficient manner. The today relatively low cost of data generation is leading us to the "Biological Big Data Era". The availability of such big data sets provides unprecedented opportunities but also raises new challenges for data mining, deep analysis, and integrative analysis over various biological "-omics" layers.
On this webpage, we present various publications and present key concepts in the analysis of "big data", with focus on gene expression profing or high throughput "-omics". This includes bioinformatical approaches based on "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each.
Further we point out the weaknesses of pure big data approaches with particular focus on biology and medicine, which fail to provide conceptual accounts for the processes to which they are applied ( Big data need big theory too! ).
Final goal is to to link all the molecular information and translate it back from "big data" into meaningful conclusions in precision medicine, systems biology, molecular- or patho-physiology.

Selected publications

... more Reviews and Publications Big-Data.Gene-Quantification.info


8th Gene Quantification Event
in April 2017

qPCR dPCR & NGS 2017

qPCR dPCR & NGS 2017
8th international Gene Quantification Event
Symposium & Industrial Exhibition & Application Workshops

Main topics:   Liquid Biopsy, Integrative Big Data Analysis, Biomarker Signature … and beyond
3 - 7 April 2017, in Freising-Weihenstephan,
School of Life Sciences, Technical University of Munich, Weihenstephan, Germany

Scientific Event Announcement => Announcement.qPCR-dPCR-NGS-2017.net

Confirmed speakers and their topics => Talks.qPCR-dPCR-NGS-2017.net

Event Promotion Trailer => www.eConferences.de/qPCR-dPCR-NGS-2017/

Scientific Symposium Sessions:

  • Liquid Biopsy & Circulating Nucleic Acids
  • Advanced Molecular Diagnostics
  • Integrative Big Data Analysis
  • Biomarker Signatures
  • Digital PCR
  • Non-coding RNAs -- microRNA, isomiRs, small RNAs, long non-coding RNAs
  • MicroGenomics & Single-Cells Diagnostics
  • Next Generation Sequencing (NGS)
  • Molecular Diagnostics in Life Science
  • MIQE & QM & Standardisation Strategies in Molecular Diagnostics

Register & Submit your scientific contribution (talk or poster abstracts) => Registration.qPCR-dPCR-NGS-2017.net


GenEx 6.1

The most powerful tool for complex qPCR data analysis

Compliant with MIQE and CLSI guidelines

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

Download a FREE GenEx 6.1 trial version => GenEx.Gene-Quantification.info
GenEx is a 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

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.

Download a free GenEx 6.1 trail version => GenEx.gene-quantification.info


Best regards,

Michael W. Pfaffl
responsible Editor of the Gene Quantification Pages



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