Courses in Practical DNA Microarray Analysis 2003
January 27 - 30 in Berlin
This course is already over!
If you missed it, please enroll for one of the later courses in 2003: March (Heidelberg), October (Heidelberg) or November (Berlin).
Below you find all the course materials (slides, exercises, data).
| Monday, Jan 27 | ||
| 09.00-10.30 | Introduction: DNA chip technology | Benedikt Brors |
| 11.00-12.30 | Quality Control and Normalisation | Wolfgang Huber |
| 13.30-14.30 | Introduction to R | Benedikt Brors |
| 14.45-17.00 | Exercises [ assignments | solutions | data ] | |
| Tuesday, Jan 28 | ||
| 09.00-10.30 | Exploratory data analysis: clustering | Benedikt Brors |
| 11.00-12.30 | Exploratory data analysis: projection methods and Multiple Testing |
Anja von Heydebreck |
| 13.30-14.30 | BioConductor | Wolfgang Huber |
| 14.45-17.00 | Exercises continued from day 1 | |
| Wednesday, Jan 29 | ||
| 09.00-11.30 | Molecular Diagnosis | Rainer Spang |
| 11.30-12.30 | Classification by Support Vector Machines | Florian Markowetz |
| 13.30-17.00 | Exercises [ assignments | data ] | |
| Thursday, Jan 30 | ||
| 09.00-11.00 | Design of microarray experiments | Ulrich Mansmann |
| 11.00-12.30 | Resampling and the bootstrap | Ulrich Mansmann |
| 13.30-17.00 | Exercises [ assignments | data ] | |
How to find us
We meet at the Max-Planck-Institute for Molecular Genetics, Ihnestr 73, 14195 Berlin-Dahlem, main building (Turm 2) third floor, big seminar room, on Mon 27 January at 9 am. The MPI-MG is next to the underground station Thielplatz (U1). Click here for detailed visitor informations.
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
| Cajavec, Branka (HU Berlin) |
Hölter, Tanja (Uni Essen) |
Pleissner, Klaus-Peter (MPI-IB Berlin) |
| Fink, Ludger (Uni Giessen) |
Hoffmann, Wolfgang (ITM Tübingen) |
Swat, Maciej (HU Berlin) |
| Grün, Joachim (DRFZ Berlin) |
Missiaglia, Edoardo (London) |
Vogel, Jan (MPI-MG Berlin) |
| Grützkau, Andreas (DRFZ Berlin) |
Mayer, Konstantin (Uni Giessen) |
Daskalaki, Andriani (FU Berlin) |
| Hans, Volkmar (Uni Bonn) |
Merk, Sylvia (München) |
Herbst, Martin (MDC Berlin) |
| Wenzel , Kathrin (Charite Berlin) |
Kabaeva, Zhyldyz (Charite Berlin) |
Kirschner, Renate (Charite Berlin) |
Accomodation
We offer you single rooms (48 EUR) with breakfast (7 EUR) at the Harnack-House, Ihnestrasse 16-20, Berlin-Dahlem. From there it's a five minutes walk to the MPI-MG. Please register before January 20 and mention the title of the workshop with your registration. Contact information at http://www.harnackhaus-berlin.mpg.de.
Further information
Please contact Dr. Wolfgang Huber: w.huber@dkfz.de