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NGFN

Courses in Practical DNA Microarray Analysis 2006

2006 November 27-30 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. 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.

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, Nov 27 - First Analysis steps
09.00-09.30 Introduction and overview Marc Zapatka
09.30-11.00 Quality control, normalization and design Tim Beissbarth
11.15-12.45 Analysis of Tiling-Array Data Wolfgang Huber
14.00-17.00 Exercises: Introduction to R, cDNA data, affy data Beissbarth, Zapatka, Huber
 Tuesday, Nov 28 - Exploratory analysistd>
09.00-10.30 Differential gene expression Anja von Heydebreck
10.30-12.00 Clustering Jörg Rahnenfüührer
12.00-13.00 Annotation Marc Zapatka
14.00-17.00 Exercises: Differential gene expression
Clustering
Rahnenführer, Kaderali, Zapatka
 Wednesday, Nov 29 - 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, Nov 30 - 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: Global testing,Gene-Set-Enrichment, GO 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

Ben NotaVrije Universiteit AmsterdamNetherlands 
Stephanie BoelzVerfuegungslabor der KinderklinikGermany 
Oscar HarariUniversidad de GranadaEspañaCancelled
Dan LinUniversiteit HasseltBelgium 
Riccarda RischatschBiozentrumBaselWaiting List
Ma. Florencia LuccaINTAArgentina 
Hamid Zarrini  Waiting List
Violeta MadzharovaStudent, Ruprecht-Karls-University of HeidelbergGermany 
Haluk Yuzugullubilkent universityankara/turkey 
Coral del ValDKFZ-Granada UniversitySpain 
Alessandra ChesiSISSA/ISAS TriesteItalyCancelled
Segun Adeyemi Fatumo   
Stefano GustincichSISSAItalyCancelled
Rocio Celeste Romero ZalizDept. Computer Science and A.I. (DECSAI)Spain 
Deirdre Corcoran   
Kiran MandapatiThe Centre for Genomic ApplicationINDIAWaiting List
Suzy Van SandenUniversiteit HasseltBelgium 
Ammad KhanShaukat Khanum Memorial Cancer HospitalPakistan 
Naira Naouar  Waiting List
Tobias BauerDKFZGermany 
Marion HirtIMGM LaboratoriesGermany 
Lennart OpitzUni Goettingen, TranskriptomanalyselaborGermany 
zur granevitzeHebrew University Jerusalem IsraelIsrael 
Steven Van LaereUniversity AntwerpBelgium 
ILse Van der AuweraUniversity AntwerpBelgium 
Mali SalmonBar Ilan University, Ramat Gan, IsraelIsrael 
Hakan BaykusRikiltThe Netherlands 
Cristina Rubio EscuderoUniversity of GranadaSpain 
Özlem GögebakanDIfEGermany 
Regine BrandtFakultaet fuer klinische MedizinGermany 
Abdul SesayMRC NIMREngland 
Valeria Lima PassosMaastricht UniversityThe NetherlandsCancelled
Radek Blatny  Cancelled
Sridevi BalaramanCologne University Bioinformatics CenterGermany 
Maria PapatriantafyllouDKFZGermany 
Victoria Dominguez-BohlerINSTITUT PASTEURFrance 
Vincent NegreINSERMFranceWaiting List
Yvonne EdwardsUniversity College LondonEngland 

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, November 27., at 9am in the German Cancer Research Center (DKFZ) main building, room H824 (8. floor). The DKFZ lies on the science campus of the university of Heidelberg, "Im Neuenheimer Feld", building 280.

This document may be helpful in finding the Neuenheimer Feld in Heidelberg: anfahrt_dkfz.pdf. Unfortunately it is in German only, but contains a number of very detailed maps guiding you to the DKFZ (INF 280).

The lectures take place in different locations on the different days, the practical work will be carried out in the computer room of the IPMB (INF 364, 3rd floor). See course locations

course locations

Accomodation

You will need to make your own accommodation arrangements.
• The most useful website for this is the Heidelberg tourist information: http://www.cvb-heidelberg.de.
• The IBIS hotel is a generic budget hotel, close to the train station, and in walking distance from the course venue and from downtown: http://www.ibishotel.com.
• The hotel Frisch is right next to the university campus: http://www.cafe-frisch.de.

Further information

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

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