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Courses in Practical DNA Microarray Analysis 2008

2008 March 3-6 in Heidelberg

The course is open for registration.

Application: 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. You may use the Registration Form.

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 3 - 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 4 - Exploratory analysis
09.00-10.30 Differential gene expression Holger Fröhlich
10.30-12.00 Clustering Tim Beissbarth
12.00-13.00 Annotation Marc Zapatka
14.00-17.00 Exercises: Differential gene expression
Clustering
Zapatka, Beissbarth, Fröhlich
 Wednesday, Mar 5 - Molecular Diagnosis
09.00-10.30 Molecular Diagnosis and Model Selection Holger Fröhlich
10:045-12.15 Classification with PAM and Random Forest Markus Ruschhaupt
13.30-17.00 Exercises: Molecular Diagnosis Ruschhaupt, Fröhlich
 Thursday, Mar 6 - 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 Manuela Hummel
13.30-17.00 Exercises: topGO, global testing, gene set enrichment analysis Hummel, Alexa, Ruschhaupt

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

Johannes KleinTU Braunschweig, Institut of MicrobiologyGermany 
Boyke BunkTU Braunschweig, Institute for MicrobiologyGermany 
Tobias KoschubsGene Center, AG Cramer, University of MunichGermany 
Frederic QuignonUniv MetzFrance 
Piotr GawronPoznan University of TechnologyPoland 
Ramona SchmidBoehringer Ingelheim/ DKFZ Theoretical BioinfGermany 
Athanasios ZovoilisInstitute of Human Genetics, Univ of GöttingenGermany 
Setia PramanaCenstat Hasselt UniversityBelgiumCancelled
Arthur GitomeUniversity Hasselt BelgiumBelgiumCancelled
Lana FernandesCReSASpain 
Anna TomasUABSpain 
Martin SillDKFZGermany 
Kannabiran NandakumarDKFZGermany 
Ina TalkeBioquant / HIP, Universität Heidelberg Germany 
Arturo Sanz SanzErasmus MCThe Netherlands 
Maria DinkelackerDKFZGermany 
Constantin KuehlInnere Medizin III, Universität HeidelbergDeutschland 
Jinyong HuMax planck instiute for plant breedingGermanyCancelled
Jana RolffMDC BerlinGermany 
Reza SohrabiVirginia TechUSA 
Cornelia SpycherInstitute of Parasitology, University of Zürich,Switzerland 
Laura MorfInstitute of Parasitology, Zürich, SwitzerlandSwitzerland 
Sandra AndorfFBN, DummerstorfGermany 
Heiko MannspergerDKFZ HeidelbergGermany 
Michael BeckerMax-Delbrueck-Center for Molecular MedicineGermany 
Simge AykanRadboud UniversityThe NetherlandsCancelled
Thomas WolfDKFZGermany 
Yvonne KochDKFZGermany 
Tobias MeissnerUniversiaetsklinikum HeidelbergGermany 
Thierry RemeIRB-INSERM U847FranceCancelled
Jerome MoreauxCHU Montpellierfrance 
Bernard KleinINSERMFrance 
Dirk HoseUniversitätskliniukm HeidelbergGermany 
Anja SeckingerDept. of Internal Med., Heidelberg UniversityGermanyCancelled
Guerkan BalCharite Universitätsmedizin Deutschland 
Carsten StichtZMF Uniklinik MannheimGermany 

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 3., 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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