Mittwoch, 21. Juni 2017

GenEx – the ultimate tool for qPCR data analysis


GenEx – the ultimate tool for qPCR data analysis
Mikael Kubista 1 and Amin Forootan 2
1 TATAA Biocenter AB, Göteborg, Sweden;  2 MultiD Analyses AB, Göteborg, Sweden

GenEx was the first commercial software developed for qPCR, and has since then become market leader with few thousands of users and several thousands of publications using GenEx. Sup- ported by all leading qPCR instrument manufacturers GenEx has batch import and corrects for inter-run variation. During pre- processing missing values are imputed, outliers are handled, and data are optimally normalized. Absolute quantification includes determining limit of detection, limit of quantification and dynamic range. All parameters are determined with confidence ranges in line with CLSI, CEN and ISO guidelines. Expression data are ana- lyzed with univariate methods including t-test, non-parametric methods and various ANOVAs with appropriate corrections for multiple testing ambiguity or multivariate methods including hierarchical clustering, Principal Component Analysis (PCA), Self- Organizing Map (SOM), Artificial Neural Network (ANN), Support Vector Machines (SVM), and many more. All analyses are easily per- formed with few clicks with the mouse using intuitive workflows that generate results that are readily interpreted in a biologi- cal context. At this lunch seminar, we will present GenEx and exemplify how easily multiple run files are in imported, measured data pre-processed, and how data are interactively analyzed using dynamic PCA to reveal key expression pathways and correlations across samples. All participants will receive FREE GenEx license for limited time.

Download a free GenEx trial version on GenEx.gene-quantification.info

The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. SA Bustin et al., Clinical Chemistry 55 (4), 611-622

Montag, 8. Mai 2017

Methods to determine limit of detection and limit of quantification in qPCR

Abstract:  Quantitative Real-Time Polymerase Chain Reaction, better known as qPCR, is the most sensitive and specific technique we have for the detection of nucleic acids. Even though it has been around for more than 30 years and is preferred in research applications, it has yet to win broad acceptance in routine practice. This requires a means to unambiguously assess the performance of specific qPCR analyses. Here we present methods to determine the limit of detection (LoD) and the limit of quantification (LoQ) as applicable to qPCR. These are based on standard statistical methods as recommended by regulatory bodies adapted to qPCR and complemented with a novel approach to estimate the precision of LoD.
Keywords:  Limit of detection; Limit of quantification; LoD; LoQ; GenEx software; Real-time PCR; qPCR; Data analysis; Replicates; MIQE; Quality control; Standardization




Sonntag, 9. April 2017

First impressions from a great qPCR dPCR & NGS 2017 Event



First impressions from a great symposium!

8th Gene Quantification Event

qPCR dPCR NGS 2017
150 contributions were presented -- 72 Talks and 78 Posters
Many thanks to all 450 participants from 35 countries
.. and in particular the all speakers, poster presenters and session chairs.
... see you at our next event in 2019 @ TUM Weihenstephan

Donnerstag, 23. März 2017

BDQ at the Gene Quantification Event

Elsevier
BDQ at the Gene Quantification Event
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Biomolecular Detection and Quantification is a proud sponsor of the qPCR dPCR & NGS, Gene Quantification Event, taking place 3-7 April 2017 in Freising, Germany. Leading experts will present on quantitative RT-PCR, dPCR, Next Generation Sequencing technologies, integrative big data analysis, and more. Visit the event website for the full agenda and additional information.
Meet the Editors
Visit the BDQ booth in the exhibition hall to:
Discover the Editorial Board
Unable to make it to the event?
Read the BDQ Special Issue on digital PCR. The articles in this Special Issue illustrate the potential of this powerful technique to advance clinical research and routine diagnosis with its reproducibility and improved sensitivity.
Read the Special Issue on dPCR