Good Practice in DNA Microarray Analysis 2005
2005 Dec 02-03 in Berlin
This course focuses on problems emerging in projects related to the classification of high-dimensional data and the functional annotation of gene expression data.
Registration is open.
The course is restricted to members of the NGFN
To apply for this course, please send
- a short decription of the project (3 pages - design, principle questions, data generating procedures, analysis, interpretation)
- a list of main problems and needs
- a description of your data
- a short description of your statistical background
- a short description of your computational experiences (data bases, statistical software, ...)
to Prof. Ulrich Mansmann. Additionally, please tell us your NGFN Förderkennziffer(FKZ).
Background Knowledge
Ideally, you are preparing or conducting your project and are highly interested to apply state of the art methods for the analysis of your data. Furthermore, you are preparing a publication and aim at an appropriate presentation and interpretation of your results. This course focuses on problems emerging in projects related to the classification of high-dimensional data and the functional annotation of gene expression data.
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 work with your data to derive relevant results. 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.
Accomodation
You have to organize accomodation on your own. We recommend rooms at the Harnack-House, Ihnestrasse 16-20, Berlin-Dahlem. From there it's a five minutes walk to the MPI-MG. Please mention the title of the workshop with your registration. Contact information at http://www.harnackhaus-berlin.mpg.de. Also not too far from the institute is Hotel Ravenna in Berlin-Steglitz. Contact: http://www.ravenna-hotel.de.
How to find us
We meet at the Max-Planck-Institute for Molecular Genetics, Ihnestr 73, 14195 Berlin-Dahlem, main building (Turm 2) third floor, big seminar room, on Friday Dec 02 at 9 am. The MPI-MG is next to the underground station Thielplatz (U1). Click here for detailed visitor informations.
Further information
Please contact Ulrich Mansmann: mansmann@ibe.med.uni-muenchen.de.