Courses in Practical DNA Microarray Analysis 20062006 May 08-11 in MunichRegistration 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.
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. This is a course in microarray analysis -- not an introduction to R. Please read the Introduction to R before the course begins. R sources and package sources can be downloaded from The Comprehensive R Archive Network at http://cran.r-project.org. R-packages you will need if you bring your own laptop are: Biobase, marray, multtest, limma, vsn, arrayMagic, cluster, RColorBrewer, affy, hgu95av2, hgu95av2cdf, lymphoma, estrogen, ALL, annotate, genefilter, multtest, ROC, isis, pamr, e1071, MCRestimate, globaltest, GOstats, hgu133a, Rgraphviz. 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
Thank you for registering! If you will not be able to attend, please contact t.beissbarth@dkfz.de as soon as possible so that we can notify the people on the waiting list. How to find us
We meet at the Klinikum Großhadern, Hörsaaltrakt, Floor K O2, Seminarroom 5, Marchioninistraße 15, 81377 München.
Accomodation You will need to make your own accommodation arrangements. We recommend rooms at the Hotel Neumayr, which lies in Großhadern close to the clinical center. If you want to stay closer to the center of Munich, we recommend hotels in Schwabing, which is 15min by U-bahn from Großhadern. Have a look at Hotel Hauser, Hotel Lettl, or Renner Hotel Savoy. Further information Please contact Tim Beißbarth: t.beissbarth@dkfz.de. |