Workshops
On
Sunday, 27 August 2006
the following workshops will be held at the Salzburg Congress. In the morning and in the afternoon there are coffee breaks. There will be one hour lunchtime where you will have the possibility to have a lunch or snack in the Sheraton Salzburg, which is located directly beside the conference center.
Cost per person: € 50.00 per workshop including coffee/tea and soft drinks during the coffee breaks.
Registration is necessary, please fill in the registration form.
Location:
Salzburg Congress
Auerspergstrasse 6
5020 Salzburg/Austria
http://www.salzburgcongress.at
Workshop 1: Bioinformatics (10:00-13:00)
Analysis of genomic data with R and Bioconductor
Powerful statistical and graphical methods are essential for the analysis of gene expression data. We will give an introduction to the functionality provided by the open source statistical computing environment R (
www.r-project.org
) and Bioconductor (
www.bioconductor.org
), the open source software project for the analysis and comprehension of genomic data. This tutorial will include quality control and pre-processing of microarray data as well as identifying differentially expressed genes, cluster analysis and graphical models.
F. Leisch, University of Munich/D;
T. Scharl, Vienna University of Technology/A
Workshop 2: Bioprocess Control (10:00-13:00)
Control of recombinant protein production processes with microbes and animal cells
Recombinant proteins are most interesting products to bioprocess industries. As they are very complex, the manufacturing processes are approved only with tight constraints on the process operational procedure. This makes demands on applying control procedures in order to improve the batch-to-batch reproducibility. However, although bioprocess control has been investigated since more than 20 years, practically no manufacturing process for recombinant proteins currently in operation is controlled in a sophisticated way. The workshop will summarise the reasons for this fact and discuss possibilities to improve the current situation.
A. Lübbert, University of Halle-Wittenberg, Halle/D
Workshop 3: Chemometrics (14:00 – 17:00)
Introduction to multivariate data analysis
In applied sciences and in technology one is often interested in properties of objects that cannot be measured directly or can be obtained only very costly. In such cases empirical, mathematical models can be created that represent relationships between available data and desired data. A fundamental approach for problems of this type is multivariate data analysis which today is the most important part of chemometrics. The basic principles of some standard methods in this area will be explained without a burden of mathematics, for example principal component analysis (PCA), partial-least-squares regression (PLS), and multivariate classification methods (LDA, KNN). Examples
from chemistry and related fields will demonstrate the potentials but also the limits of such models.
K. Varmuza, Vienna Technical University/A
Workshop 4: Magnetics in Biotechnology (14:00 – 17:00)
Product recovery by high-gradient magnetic fishing
Today’s biochemical engineers are, for the most part, wholly unfamiliar with the topics of magnetism and magnetic separations, and are thus unable to recognise areas within bioprocessing where magnetically driven separations could be applied beneficially. The primary objectives of this tutorial are to make up for this educational deficit, and to open the eyes of future bioprocess scientists/engineers to the very real potential offered by one of the oldest and most powerful separation forces known to man. Starting from basic first principles we shall describe the development of arguably the most powerful magnetic technique for bioprocessing, i.e. High-Gradient Magnetic Fishing (HGMF). Using case examples we shall illustrate the properties required of magnetic adsorbents and magnetic separator equipment for HGMF, the ways in which HGMF processes can be operated, modelled and optimised, and finally identify the technique’s future prospects within the bioprocess industries.
M. Franzreb, Forschungszentrum Karlsruhe/D; O. Thomas, University of Birmingham/UK
(Programme subject to change)
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