Day 1
In this course day 1 you will acquire following skills:
- 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.
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).
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 2
In the course day 2 you will acquire following skills:
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.
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.
Participants learn to handle data with the software GenEx, InStat and Kineret.
About the tutor:
Ales Tichopad holds a Ph.D. in life science from the Technical University Munich und is a leading expert in the field of gene-expression data analysis with several highly influential publications with hundreds of citations.
His interest is in experimental design and development of statistical software.
He collaborates with majority of instrument manufacturers, several European universities and companies providing training courses.
Ales Tichopad is an author of several patents in the field of qPCR data analysis.
Fees (incl. 19% VAT):
Academic: 785.40€
Industry: 1047.20€
For combined course modules (Single cell+qPCR data processing) we offer 200€ discount |