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NGFN

Courses in Practical DNA Microarray Analysis 2003

March 24 - 27 in Heidelberg

This course is already over!
If you missed it, please enroll for one of the later courses in 2003: October (Heidelberg) or November (Berlin).

Below you find all the course materials (slides, exercises, data).

Course schedule
 Monday, March 24
09.00-10.30 Introduction: DNA chip technology Benedikt Brors
11.00-12.30 Quality Control and Normalisation Wolfgang Huber
13.30-14.30 Introduction to R Benedikt Brors
14.45-17.00 Exercises
[ UNIX estrogenlymphomatempmva ]
[ WIN estrogenlymphomatempmva ]
Wolfgang Huber
 Tuesday, March 25
09.00-10.30 Exploratory data analysis Jörg Rahnenführer
11.00-12.30 Multiple Testing Anja von Heydebreck
13.30-14.30 BioConductor Wolfgang Huber
14.45-17.00 Exercises continued from day 1 Wolfgang Huber
 Wednesday, March 26
09.00-11.30 Molecular Diagnosis Rainer Spang
11.30-12.30 Classification by Support Vector Machines Florian Markowetz
13.30-17.00 Exercises [ assignments | data ] Florian Markowetz
 Thursday, March 27
09.00-11.00 Design of microarray experiments Ulrich Mansmann
11.00-12.30 ANOVA and the bootstrap Ulrich Mansmann
13.30-17.00 Exercises [ assignments | data ] Ulrich Mansmann

How to find us

We will meet on the science campus of the university of Heidelberg, "Im Neuenheimer Feld", building no. 305, room 144 (that is the seminar room in the 1st floor) on Monday, March 24, at 9 am.

Here are some links that may be helpful in finding the Neuenheimer Feld in Heidelberg:
http://www.uni-heidelberg.de/univ/besucher/anfahrt.html
http://med.uni-hd.de/karte/index.html

And here is a map that should help you in finding building 305 - it is marked with a circle:
http://www.uni-heidelberg.de/univ/besucher/karten/6305.html

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 the later courses in Berlin or Heidelberg.

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.

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], a 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. Basics are explained in Introduction to R.

Participants

Latif, Mahbub-ulAbt. Med. Statistik, Uni Goettingen
Thangavelu, KarthinathanAbt. Med. Statistik, Uni Goettingen
Samans, BirgitInst. medizinsche Biometrie und Epidemiologie, Uni Marburg
Schneider, JörgDKFZ Heidelberg
Steiner, KlausDKFZ Heidelberg
Renner, MarcusDKFZ Heidelberg
Finis, KatharinaDKFZ Heidelberg
Wagenpfeil, StefanInst. medizinsche Biometrie und Epidemiologie, Uni Marburg
Wilmer, FriederikeQiagen
Lu, HongInstitute of Physiological Chemistry, Uni Bonn
Breit, StephenKinderklinik III, Abt. Pädiatrische Onkologie, Hämatologie und Immunologie, Univ. Heidelberg
Nees, MatthiasKinderklinik III, Abt. Pädiatrische Onkologie, Hämatologie und Immunologie, Univ. Heidelberg
Baldessari, DanilaDKFZ Heidelberg, Division of Molecular Embryology
Price, TomWellcome Trust Center for Human Genetics, Oxford
Reingruber, BertramChirurgische Universitätsklinik Erlangen
CronerUniklinik Erlangen
Kuner, RuprechtDKFZ Heidelberg

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

Further information

Please contact Dr. Wolfgang Huber: w.huber@dkfz.de

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