qPCR workshops
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Life Science is still a growing sector and new methods and technologies are continously developed. Therefore permanent training and education becomes so important.
With our specific course program we are offering a range of high-quality course modules to give a general and independent overview of existing qPCR technologies and systems. Our course issues are based on skilled know-how from own research studies and publications. Our aim is to point out a critical way of thinking to increase the quality and outcome of experimental data.

All BioEPS workshops are based on the MIQE guidelines (Minimum Information for Publication of Quantitative real-time PCR Experiments), the first guidelines for quality assurance within qPCR technology => MIQE.gene-quantification.info http://miqe.gene-quantification.info/


FLYER => http://www.gene-quantification.de/bioeps-flyer-2010.pdf


All courses are held regularly in Freising-Weihenstephan, Germany, in German and English language. Further customized workshops and specialized trainings will be held as well across Europe and world-wide. Workshops are powered by BioEPS GmbH http://www.bioeps.com/, located at the campus of the Technical University of Munich, in Freising-Weihenstephan, very close to the Munich Airport (MUC).
For more information and registration, please see our web page => http://workshops.gene-quantification.info/


qPCR Basis Workshop & qPCR Data Processing Modules

qPCR Basis Workshop Module  29 Nov. - 1 Dec. 2010  (3 days)

qPCR Data Processing   2 - 3 Dec. 2010 (2 days)
The course consists of various theoretical and practical parts where participants get to do qPCR experiments by themselves under experienced supervision.


About the tutors:

Dr. Michael Pfaffl is one of the leading experts in qRT-PCR and in qPCR data analysis, specialiced on relative quantification strategies. He is author of many highly influental publications.
Dr. Martina Reiter is qPCR specialist with focus on experiment setup and many years of experience in the optimization of qPCR experiments on vrious qPCR platforms.
Ales Tichopad holds a Ph.D. in life science from the TUM und is a leading expert in the field of gene-expression data analysis with several highly influential publications with hundreds of citations.


Day 1:
Basic PCR theory and applications
Detection Chemistry (SYBR Green I, TaqMan, Molecular Beacons...etc)
Different instrument platforms and their typical uses
Primer Design, Probe design and optimization
Basic data handling and analysis

Day 2:
Experimental setup and how it influences qPCR data
Nucleic acid extraction
cDNA synthesis and pre-amplification
Introduction to specific qPCR applications: genotyping, SNP analysis, HRM

Day 3:
Introduction to quantification principles
Quantification strategies and qPCR efficiency
Absolute quantification
Relative quantification
Strategies for normalization of QPCR data

Day 4:
Elementary qPCR data processing
How to process the Cq value to a meaningful expression data. How to involve reference gene data into the calculation and how to mathematically correct for the actual amplification efficiency.

Descriptive statistics
How to describe your data with appropriate descriptive statistics. You will understand how to plot your data and how to present error in various ways. We will show you how to interpret confidence intervals, how to construct them and how to decide when to use them.

Principals of inferential statistics:
This lectures cover the principles of statistics, including Gaussian statistics, the central limit theorem, p values and statistical hypothesis testing, z-scores, rank-based methods (non-Gaussian), comparison of two groups (paired and unpaired t-test).

Statistical test
Did you already heard about ANOVA, t-test, Mann Whitney test, Wilcoxon test, Fisher's exact test and many other tests but you don’t know what they mean? In this lecture we will not only explain how these frequently used methods work but also when to use them, what are their advantages and pitfalls. In addition, we will present you methods for calculating linear regression, outlier detection, missing data handling, and data scaling. During computer based workshop participants will learn how to analyze typical real-time PCR data sets. Examples include identification of outliers, and how to compare means and variances of paired and unpaired studies.

Day 5:
Experiment design
In this part of the course we will explain you what aspects of experiment design should be considered in the phase of experiment planning. Mainly, you will understand the term of error source and its implication in the calculation of number of replicates. We will show you our own validation studies performed on various types of tissues those manifest the need for different experiment design. Eventually, you will learn how to use software tools to design your experiment well enough to support your biological hypothesis.

Cluster analysis methods
Methods such as hierarchical clustering, principal component analysis or neural networks have been receiving increasing awareness in the field of molecular biology and genetics. In our course we will introduce all these methods and let our students solve several practical examples using most up-to-date software tools. You will not become an innovator in this field of modern statistics, you will nevertheless be able to interpret correctly resulst produced using these methods.

Selection of reference genes
In this block, we will show you how to select most suitable reference genes for your normalization and how to evaluate their effect on the data accuracy and precision. In the practical part, you will be able to test the most frequently used algorithms implemented within a user friendly software.

Gene expression profiling
This lecture cover methods to classify samples and genes and hence shows the practical application of the above methods in the gene-expression research and diagnostics. The methods presented include Principal Component Analysis, Potential Curves, Hierachical Clustering, Self-Organizing Maps, and Trilinear Decomposition. During computer based workshops participants will classify metabolic genes in yeast, developmental stages in Xenopus laevis, Breast cancer data, and developing stem cells.

Practical Part:
Participants learn to handle data with the software GenEx, InStat and Kineret.
Download a free GenEx trial version => GenEx.gene-quantification.info

Register here => http://site.bioeps.com/index.php?option=com_seminar&Itemid=6



Course dates 2010:

* 8 - 9 November 2010 (E) 2-day microRNA & qPCR (Mon.-Tue.)
* 29 November - 1 December 2010 (E) 3-day qPCR Basic Module (Mon. - Wed.)
* 2 - 3 December 2010 (E) 2-day Experiment Design & qPCR data processing (Thu. - Fri.)
* 17 -19 Janurary 2011  (E)   3-day qPCR Basic Module (Mon. - Wed.)
* 21 - 23 February 2011  (E)   3-day qPCR Basic Module (Mon. - Wed.)
* 28 February - 2 March 2011  (E)   3-day single-cell qPCR Module (Mon. - Wed.)

Download course brochure 2010 http://www.gene-quantification.de/bioeps-course-programm-2010.pdf

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In our workshop GenEx software will be used for data analysis
http://genex.gene-quantification.info/


GenEx offers advanced methods to analyze real-time qPCR data with simple clicks of the mouse.
GenEx is the leading software for processing and analysis of qPCR data. It provides a multitude of functionalities for the qPCR community, ranging from basic data editing and management to cutting-edge data analysis.

Near universal instrument compatibility
GenEx is already compatible with instruments from most of the main qPCR instrument producers and the list of compatible instruments keeps growing with the help and input from existing customers.

User-friendly interface
GenEx has a user friendly interface designed to be both easy to learn for a novice and flexible enough for the demands of a professional user.

Comprehensive pre-processing and data editing
Possibly the most important part of qPCR experiments is to pre-process the raw data for subsequent statistical analyses. The pre-processing steps need to be performed consistently in correct order and with confidence. GenEx contains comprehensive tools for data pre-processing and data editing.

Cutting-edge data analysis
GenEx offers cutting-edge data analysis tools, with GenEx Pro and Enterprise being the most complete versions. Current features include parametric and non-parametric statistical tests, clustering methods, principal component analysis, artificial neural networks, and much more. New features are continuously being added to GenEx with close attention to customer needs. In the GenEx forum you will find in depth information about experimental design, data analysis and GenEx features.

http://genex.gene-quantification.info/


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