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Courses in Practical DNA Microarray Analysis 2007

2007 March 5-8 in Heidelberg

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.

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.

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

Preliminary Course schedule
 Monday, Mar 5 - First Analysis steps
09.00-09.30 Introduction and overview Benedikt Brors
09.30-12.30 Quality control, normalization and design Tim Beissbarth
14.00-17.00 Exercises: Introduction to R, cDNA data, affy data Beissbarth, Brors
 Tuesday, Mar 6 - Exploratory analysis
09.00-10.30 Differential gene expression Anja von Heydebreck
10.30-12.00 Clustering Jörg Rahnenfüührer
12.00-13.00 Annotation Benedikt Brors
14.00-17.00 Exercises: Differential gene expression
Clustering
Rahnenführer, Heydebreck
 Wednesday, Mar 7 - 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, Spang
 Thursday, Mar 8 - Pathways
09.00-10.00 Computational Inference of Cellular Networks Achim Tresch
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
Mansmann, Hummel, Alexa

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.

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

Subramanian Arun KumarUniversity of ReadingUnited KingdomCancelled
Jean-Marc NeefsJohnson&JohnsonBelgium 
Alberto CalabroDKFZGermany 
Dido LenzeCharité-Universitätsmedizin Berlin, Inst. f. PatGermanyCancelled
Michael HummelCharité-Universitätsmedizin Berlin, Inst. f. PatGermany 
Alessandra ChesiSISSAItalyCancelled
Regine BrandtKlinikum MannheimGermanyCancelled
Alon MagenMax Planck Institute for Molecular GeneticsGermany 
Vincent NegreINSERMFrance 
Riccarda RischatschBiozentrum University of BaselSwitzerland 
Rabea HallUniklinik Bonn/ Medizinische Klinik IGermany 
Valeria Lima PassosMaastricht UniversityNetherlands 
Mohsen HajheidariMax-planck Institute for plant breeding researchGermanyCancelled
Tariq MaqboolINSERM U-384, Faculty of MedicineFranceCancelled
Qihua TanOdense University HospitalDenmark 
Mads ThomassenOdense University HospitalDenmark 
Ingrid ArijsKU Leuven, faculty of medicineBelgium 
Kristel Van SteenGhent University HospitalBelgium 
Dennis JanzInstitut für Forstbotanik/Universität GöttingenGermany 
Christian OtuteyeCUBIC-Cologne University of Bioinformatics CenteGermany 
Smita SudheerMax Planck Institute for Molecular GeneticsGermany 
Radek BlatnyInstitute of Molecular GeneticsCzech Republic 
Vibe SkovOdense University HospitalDenmark 
Wiebke WerftDKFZGermany 
Song GuoCUBIC Center University CologneGermany 
Dilafruz JuraevaCologne UniversityGermany 
Alexandr GoncearencoCUBIC Center University CologneGermany 
Ranjana BhatiaCUBIC-Cologne University Bioinformatics CentreGermany 
Ephraim TefferaCUBIC-Cologne University Bioinformatics CentreGermany 
Hans-Ulrich KleinUni Münster/Institut Med.-Inf. und BiomathematikDeutschland 
Markus GreinerUniversitätsklinum des SaarlandesGermany 
Ion RoxanaJanssen Pharmaceutica nvBelgium 
Sheena PintoDKFZGermany 
ala hejazisaad specialist hospital KSAWaiting List
Guido KlingbeilDKFZ Heidelberg (Theoretische Bioinformatik)GermanyWaiting List
Andrea SoltysovaFac. of sciences UK, dep.of molecular biologySlovakiaWaiting List
Kannabiran NandakumarDKFZgermany 
Mudduluru GiridharDKFUGermanyWaiting List
Van-Duc LuuDKFZGermany 
Laura GianninoIstituto Sperim. Italiano Lazzaro SpallanzaniItalyWaiting List
Touati BenoukrafCIML CNRS-INSERMFranceWaiting List
jos de graafEMBLgermany 

Thank you for registering! 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 Monday, March 5., at 9am at the IPMB building, in the computer room in the 3rd floor. The IPMB lies on the science campus of the university of Heidelberg, "Im Neuenheimer Feld", building 364 (see map).

The closest airport (by time, not by distance) is Frankfurt/Main. It is approximately 90km away, but has a nice high-speed train connection to Heidelberg via Mannheim. Travel by train is about 1 hour. Other airports would be Karlsruhe/Baden Airport and Stuttgart. Travel directions are at the DKFZ web site, too.

Accomodation

You will need to make your own accommodation arrangements.

Further information

Please contact Tim Beissbarth: t.beissbarth@dkfz.de.

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