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Courses in Practical DNA Microarray Analysis 2006

2006 September 25-28 in Saarbrücken

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.

If you bring your own laptop, be sure to have installed the following packages:
affy, Biobase, marray, multtest, limma, vsn, arrayMagic, cluster, RColorBrewer, hgu95av2, hgu95av2cdf, estrogen, ALL, annotate, genefilter, multtest, ROC, isis, pamr, e1071, MCRestimate, GlobalAncova, globaltest, GOstats, hgu133a, Rgraphviz.

Preliminary Course schedule
 Monday, Sep 25 - First Analysis steps
09.00-09.30 Introduction and overview Marc Zapatka
09.30-12.15 Quality control, normalization and design Tim Beissbarth
13.30-17.00 Exercises: Introduction to R, cDNA data, affy data Beissbarth, Zapatka
 Tuesday, Sep 26 - Exploratory analysis
09.00-10.30 Differential gene expression Anja von Heydebreck
10.30-12.00 Clustering Jörg Rahnenführer
12.00-13.00 Annotation Marc Zapatka
14.00-17.00 Exercises: Differential gene expression
Clustering
Alexa, Rahnenführer
 Wednesday, Sep 27 - Molecular Diagnosis
09.00-10.30 Molecular Diagnosis Rainer Spang
10.30-11.30 Classification with PAM and Random Forest Markus Ruschhaupt
11.30-12.30 Model Assessment and Selection Rainer Spang
13.30-17.00 Exercises: Molecular Diagnosis Ruschhaupt, Rahnenführer
 Thursday, Sep 28 - Pathways
09.00-10.00 Computational Inference of Cellular Networks Achim Tresch
10.15-11.15 Group testing: global tests, holistic approaches Manuela Hummel
11.30-12.30 Scoring Gene Ontology terms Adrian Alexa
13.30-17.00 Exercises: Gene Set Enrichment Analysis, Global Testing and GO-analysis Hummel, Alexa, Tresch

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.

R-packages you will need:
Biobase, marray, multtest, limma, vsn, arrayMagic, cluster, RColorBrewer, affy, hgu95av2, hgu95av2cdf, 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

An De Bondt Johnson & Johnson Pharmaceutical RD Beerse, Belgium
Renate Effner IBE Muenchen Munic, Germany
Wouter Eijgelaar University of Maastricht Department of Pathology Maastricht, Netherlands
Kristine Kleivi Medical Biotechnology, VTT Turku, Finland
Andras Treszl SE 1st Department of Pediatrics Budapest, Hungary
Duan Jun Southwest University of China Chongqing, China
Lukas Chavez Max-Planck-Institut for Molecular Genetics Berlin, Germany
Jan Wuyts Flanders Interuniversity Inst. for Biotechnology Gent, Belgium
Daniela Marconi University of Bologna Bologna, Italy
Catelijne Stortelers Netherlands Cancer Institute Netherlands
Santosh Anand TIGEM (Telethon Institute of Genetics&Medicine) Napoli, Italy
Ana Rotter national institute of biology Ljubljana, Slovenia
Alan Magee Trinity College Dublin, Ireland
Petra Kralj University on Ljubljana Ljubljana, Slovenia
Stefan Bonn Max-Planck Institute for Medical Research Heidelberg, Germany
Holger Fröhlich DKFZ Heidelberg, Germany
Alexander Polizos Bioacademy Athens, Greece
Qihua Tan Odense University Hospital Odense, Denmark
Li Jiang Danish Institute of Agricultural Sciences Tjele, Denmark
Mari Peltola University of Turku Turku, Finland
Henri Sara University of Turku Turku, Finland
Natalia Kan BASF Ludwigshafen, Germany
Konstantin Khodosevich Klin. Neurobiologie, Univ. Klinik Heidelberg, Germany

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

How to find us

We meet at the Max-Planck-Institut für Informatik, Building 46.1, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany. Detailed visitor information are found here. Map here.

Accomodation

You have to organize accomodation on your own. We recommend rooms at
Hotel Seewald in Saarbruecken-Dudweiler. Good and friendly budget-priced hotel close to the university campus and to the Max Planck Institute, in 10-15 minutes walking distance, bus connections also available.
Domicil Leidinger in Saarbruecken. More upscale hotel close to the city center.

Further information

Please contact the local organizer Jörg Rahnenführer (rahnenfj@mpi-sb.mpg.de) or Tim Beißbarth (t.beissbarth@dkfz.de).

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