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Courses in Practical DNA Microarray Analysis 2005

2005 May 09-12 in Munich

Microarray analysis can be fun! Here are the pictures to prove it.

Preliminary Course schedule
 Monday, May 09 - First Analysis steps
09.00-09.30 Introduction and overview Benedikt Brors
09.30-11.00 cDNA chips: Quality control and preprocessing Ulrich Mansmann
11.15-12.15 Affy Chips: Cel-file versus summary information Ulrich Mansmann
14.45-17.00 Exercises: Introduction to R, cDNA data, affy data Wolfgang Huber
 Tuesday, May 10 - Exploratory analysis
09.00-10.20 Differential gene expression Anja von Heydebreck
10.30-11.50 Clustering Jörg Rahnenführer
12.00-13.00 Annotation Benedikt Brors
14.00-17.00 Exercises: Differential gene expression
Clustering
v.Heydebreck
Rahnenführer,Markowetz
 Wednesday, May 11 - Molecular Diagnosis
09.00-10.20 Molecular Diagnosis Rainer Spang
10.30-11.30 Classification by Nearest Shrunken Centroids
and Support Vector Machines
Florian Markowetz
11.30-12.30 Model Assessment and Selection Rainer Spang
13.30-17.00 Exercises: Molecular Diagnosis Florian Markowetz
 Thursday, May 12 - Pathways
09.00-10.20 From a gene list to biological function Adrian Alexa
10.30-11.30 Structured Analysis of Microarrays
and Differential Coexpression
Rainer Spang
11.30-12.30 Scoring pathway activity Jörg Rahnenführer
13.30-17.00 Exercises: Group testing, Gene Ontology
and time to work on your own data
Ulrich Mansmann

Background Knowledge

Ideally, you are interested in mathematical and statistical problems and are familiar with at least one programming language. This course focusses on the practical side of gene expression data analysis. However, data analysis without understanding the statistical background is in general impossible. We strongly recommend you to refresh your mathematical and programming skills before attending the course.

Please use the links to software and literature to prepare yourself before the course begins.

R and Bioconductor

In the afternoon exercises you will learn how to analyze data using the statistical computing environment R [http://www.r-project.org] and BioConductor [http://www.bioconductor.org], an open source software for bioinformatics. R sources and package sources can be downloaded from The Comprehensive R Archive Network at http://cran.r-project.org.

This is a course in microarray analysis -- not an introduction to R. Please read the Introduction to R before the course begins.

Bring your own data

You are encouraged to bring some of your own data to the course (e.g. genepix files or CEL/CDF). We will use this during the exercises. If you expect to have own data only later in the year, it may in fact be advantageous also to register for one of the later courses.

Participants

Adrien Jamain  Imperial College London
Anja Weigmann  Institut für Zell- und Molekularpathologie, University of Hannover, Germany
Ashraf EL-Sayed  Institute of Animal Breeding Science, Bonn University, Germany
Nguyen Trong Ngu Institute of Animal Breeding Science, Bonn University, Germany.
Daniel Kosztyla  TU Berlin, Germany
Ulrike Held  Sylvia Lawry Centre for MS Research e.V., Munich, Germany
Oliver Thimm  Department of Biology, University of York, UK
Thomas Metz  International Rice Research Institute, Los Baños, Laguna, Philippines.
Dietmar Fernández Orth PROGENIKA Biopharma S.A., Derio, Spain
David Arteta  Dept. of Pharmacology, University of the Basque Country, Spain
Afsaneh Maleki  University of Manchester, UK
Manuel Mayhaus  Genopolis Consortium, University of Milano-Bicocca , Italy
Ailís Fagan  The National University of Ireland, Dublin, Ireland
Ian Jeffery  The National University of Ireland, Dublin, Ireland
Walter Glaser  Vienna University Computing Center, Vienna, Austria
Maurice Scheer  TFH Berlin, Germany
Donald Dunbar  University of Edinburgh, UK
Mathias Gebauer  Aventis Pharma Deutschland GmbH, Frankfurt, Germany
Stefan Weckx  VIB microarray facility, Leuven, Belgium
Sudesh K. Srivastav Tulane University, New Orleans, US
Reinhard Hoffmann Max-von-Pettenkofer-Institut, Munich, Germany
Elena Sarropoulou Hellenic Centre for Marine Research Crete, Heraklion, Crete, Greece
Nadine Zidek  Merck KGaA, Frankfurt, Germany
Robert A. Furlong Department of Pathology, University of Cambridge, UK
Sylvia Merk  University of Munich, Germany
Dario Greco  University of Helsinki, Finland

Thank you for registering! This course is fully booked and closed for registration. The course is still open for registration. If you will not be able to attend, please contact Florian Markowetz as soon as possible so that we can notify the people on the waiting list.

How to find us

We meet at the Klinikum Großhadern, Hörsaaltrakt, Floor K O2, Seminarroom 5, Marchioninistraße 15, 81377 München.
Großhadern lies in the south-west of Munich (map). A detailed how-to-get-there is found here (in german only). For navigating, you might also find the roadmap and the following directions helpful:
• If you arrive in Munich by plane, take the S-bahn S8 ("Airport line") to Marienplatz.
• If you arrive by train, take any S-bahn or U-bahn to Marienplatz.
• From Marienplatz take U6 to final stop Klinikum Großhadern.
• Leaving the platform, you stand inside a glass pyramid (marked in red in the left figure below).

The red pyramid is the Ubahn-station at which you arrive using U6. The building marked in green is your destination.   This is the inside of the clinical center. The seminarrooms are on the upper right next to the letters "KL".

Accomodation

You will need to make your own accommodation arrangements. We recommend rooms at the Hotel Neumayr, which lies in Großhadern close to the clinical center. If you want to stay closer to the center of Munich, we recommend hotels in Schwabing, which is 15min by U-bahn from Großhadern. Have a look at Hotel Hauser, Hotel Lettl, or Renner Hotel Savoy.

Further information

Please contact Florian Markowetz: florian.markowetz@molgen.mpg.de.

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