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Courses in Practical DNA Microarray Analysis 2005

2005 September 19-22 in Saarbrücken

Course schedule
 Monday, Sep 19 - First Analysis steps
09.00-09.30 Introduction and overview Benedikt Brors
09.30-12.15 Quality control, normalization and design Tim Beißbarth
14.45-17.00 Exercises: Introduction to R, cDNA data, affy data  
 Tuesday, Sep 20 - Exploratory analysis
09.00-10.30 Differential gene expression Anja von Heydebreck
10.30-12.00 Clustering Jörg Rahnenführer
12.00-13.00 Annotation Benedikt Brors
14.00-17.00 Exercises: Differential gene expression
Clustering
v.Heydebreck
Rahnenführer, Markowetz
 Wednesday, Sep 21 - 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, Sep 22 - Pathways
09.00-10.00 Computational Inference of Cellular Networks Florian Markowetz
10.15-11.15 Group testing: global tests, holistic approaches Ulrich Mansmann
11.30-12.30 Scoring Gene Ontology terms Adrian Alexa
13.30-17.00 Exercises: Group testing
and time to work on your own data
Ulrich Mansmann

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

Sachin Kumar Institute of Medical Microbiology Giessen, Germany
Jyothi Devakumar . Bangalore, India
Adrian Anghel Charles Drew University Los Angeles, USA
Richard Gayle University of South Dakota USA
Elske Franssen Netherlands Institute for Brain Research Amsterdam, The Netherlands
Frederik de Bree Netherlands Institute for Brain Research Amsterdam, The Netherlands
Sasithorn Chotewutmontri Institute for human genetics, University of Mainz Mainz, Germany
Sammy Haege Institute for human genetics, University of Mainz Mainz Germany
Ivan Borozan Banting and Best Department of Medical Research Toronto, CA
Prabhakara Choudary Center for Neuroscience, UC Davies Davies, USA
Sven Wichert Department for Neurogenetics, MPI for Experimental Medicine Göttingen, Germany
Oliver Bitz Institut for Molecular Genetics, University of Mainz Mainz, Germany
Jürgen Dönitz Dept. Bioinformatics, University of Göttingen Göttingen, Germany
Martin Haubrock Dept. Bioinformatics, University of Göttingen Göttingen, Germany
Jarno Tuimala CSC, the Finnish IT center for science Espoo, Finland
Volker Jung Universitätsklinikum des Saarlandes Homburg, Germany
Abdul Karim Sesay National Institute for Medical Research London, UK
Stefanie Tauber ARCS: Austrian Research Centers Seibersdorf Vienna, Austria
Francesa Guana Pharmacogenomic Laboratory, Fondo Edo Tempia Biella, Italy
Andreas Keller Universitaet des Saarlands .
Ivan Paponov Universitaet Freiburg, Zentrum fuer Angewandte Biowissenschaften Freiburg, Germany
Lee-Hsueh Hung Institut für Biochemie, FB08 Justus-Liebig-Universität Gießen Giessen, Germany
Narendra Kaushik School of Biosciences, University of Cardiff Cardiff CF10 3US, UK

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.

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.

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 Florian Markowetz (florian.markowetz@molgen.mpg.de).

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