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Courses in Practical DNA Microarray Analysis 2004

March 08 - 11 in Heidelberg

Datasets and additional packages used in the practical sessions can be found in the data directory, links to the tutorial slides and practical exercises in the table below.

And here are some pictures to prove that microarray analysis can be a lot of fun.

Course schedule
 Monday, March 08
09.00-10.30 First analysis steps Wolfgang Huber
11.00-12.30 Differential gene expression Anja von Heydebreck
13.30-14.30 First steps in R Florian Markowetz
14.45-17.00 Exercises: Exploring cDNA data Wolfgang Huber
 Tuesday, March 09
09.00-10.30 Exploratory data analysis Jörg Rahnenführer
10.30-11.30 Resampling and the bootstrap Axel Benner
11.30-12.00 Screening by ROC curve analysis Axel Benner
13.30-14.30 BioConductor Wolfgang Huber
14.45-17.00 Exercises: 2x2 factorial design Wolfgang Huber
 Wednesday, March 10
09.00-11.00 Design of microarray experiments Ulrich Mansmann
11.00-12.30 Annotation Benedikt Brors
13.30-17.00 Exercises: Experimental Design Ulrich Mansmann
 Thursday, March 11
09.00-10.30 Molecular Diagnosis Rainer Spang
10.30-11.30 Classification by Support Vector Machines Florian Markowetz
11.30-12.30 Model Assessment and Selection Axel Benner
13.30-17.00 Exercises: classification, model selection Florian Markowetz
Axel Benner

How to find us

We will meet on the science campus of the university of Heidelberg, "Im Neuenheimer Feld", building no. 305, room 144 (that is the seminar room on the 1st floor) on Monday March 08 at 9 am.

Here are some links that may be helpful in finding the Neuenheimer Feld in Heidelberg:
http://www.uni-heidelberg.de/univ/besucher/anfahrt.html
http://med.uni-hd.de/karte/index.html

And here is a map that should help you in finding building 305 - it is marked with a circle:
http://www.uni-heidelberg.de/univ/besucher/karten/6305.html

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 in Berlin or Heidelberg.

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.

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], a 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. Basics are explained in Introduction to R.

Participants

Benjamin Haibe-Kains Jules Bordet Hospital and Free University of Brussels, Belgium.
Barbara Vollmayr Mannheim, Germany.
Georg Wilhelm Otto Max-Planck-Institute for Developmental Biology, Tuebingen, Germany.
Luzie U. Wingen Institut fuer Zell- und Molekularpathologie, Medizinische Hochschule Hannover, Germany.
Stefan Berger Department of Molecular Biology, Central Institute of Mental Health, Mannheim, Germany.
Eric Cabannes Laboratoire d'Immunologie Virale, Institut Pasteur, Paris, France.
Lysiane Laurent Laboratoire d'Immunologie Virale, Institut Pasteur, Paris, France.
Axel Weber  Institut für Pharmakologie, Medizinische Hochschule Hannover, Germany.
Oliver Dittrich Institut für Pharmakologie, Medizinische Hochschule Hannover, Germany.
Anja Matthaei  Inst. Med. Genetik, Tumorgenetik, Campus Virchow Klinikum, Berlin, Germany.
Eva Klopocki Inst. Med. Genetik, Tumorgenetik, Campus Virchow Klinikum, Berlin, Germany.
Stana Radic Department of Physics, University of Cologne, Germany.
Floor Stam Vrije Universiteit Amsterdam, Molecular and Cellular Neurobiology, Amsterdam, Netherlands
Roel Verhaak Erasmus Medical Center, Rotterdam, Netherlands.
Karin Lemuth Univ. Stuttgart, Germany.
Anissa Boucherot Klinische Biochemie, Medizinische Poliklinik der LMU München.
Michael Moorhouse  Rotterdam, Netherlands.
Jean-Francois Laes  Jules Bordet Institute, Brussels, Belgium.

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

Accomodation

You will need to make your own accommodation arrangements.
• The most useful website for this is the Heidelberg tourist information: http://www.cvb-heidelberg.de.
• The IBIS hotel is a generic budget hotel, close to the train station, and in walking distance from the course venue and from downtown: http://www.ibishotel.com.
• The hotel Frisch is right next to the university campus: http://www.cafe-frisch.de.

Further information

Please contact Dr. Wolfgang Huber: w.huber@dkfz.de

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