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NGFN

Courses in Practical DNA Microarray Analysis 2003

November 10 - 13 in Berlin

This course is fully booked and closed for registration.

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

Course schedule
 Monday, Nov 10
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, Nov 11
09.00-10.30 Exploratory data analysis Jörg Rahnenführer
10.30-12.00 Annotation Benedikt Brors
13.30-14.30 BioConductor Wolfgang Huber
14.45-17.00 Exercises: 2x2 factorial design Wolfgang Huber
 Wednesday, Nov 12
09.00-10.15 Molecular Diagnosis Rainer Spang
10.15-11.00 Classification by Support Vector Machines Florian Markowetz
11.00-12.00 Resampling and the bootstrap Axel Benner
13.30-17.00 Exercises: classification Florian Markowetz
 Thursday, Nov 13
09.00-11.00 Design of microarray experiments Ulrich Mansmann
11.00-12.00 Model Assessment and Selection Axel Benner
12.00-12.30 Screening by ROC curve analysis Axel Benner
13.30-17.00 Exercises: Model selection, Bootstrap Ulrich Mansmann
Axel Benner

How to find us

We meet at the Max-Planck-Institute for Molecular Genetics, Ihnestr 73, 14195 Berlin-Dahlem, main building (Turm 2) ground floor, big seminar room, on Mon 10 Nov 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 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

Peter Martus FU Berlin
Samuel Lattimore Cancer Research UK, London
Balazs Gyorffy HU Berlin
Jose Gadea Vagas Institute for Molecular and Cellular Biology of Plants, UPV-CSIC Valencia, Spain.
Rothin Strehlow Fraunhofer Institut Biomedizinische Technik, IBMT, Abteilung Molekulare Bioanalytik & Bioelektronik, Germany
Qing Dong RZPD Deutsches Ressourcenzentrum für Genomforschung, Berlin, Germany
Raghunadha Reddy Burri Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
Michael Meyners Boehringer Ingelheim Pharma, Biberach an der Riss, Germany
Yang Xinan Southeast University, China
Qihua Tan Odense University Hospital, Denmark
Volker Hammen Rheumatologie, Charite Berlin, Germany
Florian Graedler GSF National Research Center for Health and Environment, Neuherberg, Germany
Roel Bakker Hogeschool Rotterdam, the Netherlands
Stefano Calza Department of Biomedical Science and Biotechnology, Section Biomedical Statistics and Biometry, University of Brescia, Italy
Roy A. Dalmo Norwegian College of Fishery Science, Dpt. Marine Biotechnology, University of Tromsoe, Norway.
Torunn P. Roekenes Norwegian College of Fishery Science, Dpt. Marine Biotechnology, University of Tromsoe, Norway.
Tom C. Tonheim Norwegian College of Fishery Science, Dpt. Marine Biotechnology, University of Tromsoe, Norway.

Thank you for registering! This course is fully booked and closed 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.

Accomodation

We offer you single or double rooms at the Harnack-House, Ihnestrasse 16-20, Berlin-Dahlem. From there it's a five minutes walk to the MPI-MG. Please register before October 09 and mention the title of the workshop with your registration. Contact information at http://www.harnackhaus-berlin.mpg.de.

Further information

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

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