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Courses in Practical DNA Microarray Analysis 2006

2006 May 08-11 in Munich

Registration is closed.

To get on the waiting-list, please send a short note that explains your existing skills and experience with (a) microarrays, (b) statistics, and (c) computer programming and your motivation for taking this course to t.beissbarth@dkfz.de. Additionally, please tell us your NGFN Förderkennziffer (FKZ), if available.

Preliminary Course schedule
 Monday, May 08 - First Analysis steps
09.00-09.30 Introduction and overview Marc Zapatka
09.30-12.15 Quality control, normalization and design Achim Tresch
13.30-17.00 Exercises: Introduction to R, cDNA data, affy data Zapatka
Tresch
 Tuesday, May 09 - Exploratory analysis
09.00-10.30 Differential gene expression Rainer Spang
10.30-12.00 Clustering Jörg Rahnenführer
12.00-13.00 Annotation Marc Zapatka
14.00-17.00 Exercises: Differential gene expression
Clustering
Rahnenführer
Spang
Markowetz
 Wednesday, May 10 - Molecular Diagnosis
09.00-10.30 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 11 - Pathways
09.00-10.00 Computational Inference of Cellular Networks Florian Markowetz
10.15-11.15 Scoring Gene Ontology terms Jörg Rahnenführer
11.30-12.30 Group testing: global tests, holistic approaches Ulrich Mansmann
13.30-17.00 Exercises: Gene Set Enrichment Analysis, Global Testing and GO-analysis Ulrich Mansmann
Manuela Hummel

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.

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

R sources and package sources can be downloaded from The Comprehensive R Archive Network at http://cran.r-project.org. R-packages you will need if you bring your own laptop are: Biobase, marray, multtest, limma, vsn, arrayMagic, cluster, RColorBrewer, affy, hgu95av2, hgu95av2cdf, lymphoma, estrogen, ALL, annotate, genefilter, multtest, ROC, isis, pamr, e1071, MCRestimate, globaltest, GOstats, hgu133a, Rgraphviz.

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

Annalisa Ballarini Universitätsklinikum "Carl Gustav Carus" Dresden, Germany
Holger Laux LGC London, UK
Alexandra Walijew Merck Berlin, Germany
Igor Trajkovski Jozef Stefan Institute Ljubljana, Slovenia
Ivica Slavkov Jozef Stefan Institute Ljubljana, Slovenia
Bryan O' Sullivan UCD Conway Institute Dublin, Ireland
Karen Power UCD Conway Institute Dublin, Ireland
Lukas Heukamp University Hospital Bonn, Germany
Pedro Lopez-Romero CNIC Genomics Unit Madrid, Spain
Hana Hartmannová Center of Inherited Metabolic Diseases Prague, Czech Republic
Lenka Nosková Center of Inherited Metabolic Diseases Prague, Czech Republic
Ron Ophir Weizmann Institute Rehovot, Israel
Stefan Bohlander Klinikum Großhadern Munich, Germany
Hendrik Reuter Klinikum Großhadern Munich, Germany
Yu-An Dong MIT Cambridge (MA), USA
Hilde S. Vollan Epi-Gen, Akershus University Hospital Akershus, Norway
Stefan Scheidl University Hospital Innsbruck, Austria
Eva Hoster University Hospital Großhadern Munich, Germany
Pedro Jares Genomics Unit, IDIBAPS Barcelona, Spain
Oliver Heil Deutsches Ressourcenzentrum fuer Genomforschung (RZPD) Heidelberg, Germany
Moritz Heinz Institut fuer med. Biometrie und Epidemiologie Mainz, Germany
Claudia Hartmann Institut fuer Immunologie, Ludwig-Maximilians-Universiaet Muenchen, Germany

Thank you for registering! If you will not be able to attend, please contact t.beissbarth@dkfz.de 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 Tim Beißbarth: t.beissbarth@dkfz.de.

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