|
NGFN Microarray data analysis
resource.
Responsible:
Ulrich Mansmann,
University of Munich.
Rainer Spang,
Max-Planck-Institute for Molecular Genetics, Berlin.
Wolfgang Huber,
European Bioinformatics Institute, Hinxton, UK,
Benedikt Brors,
German Cancer Research Center (DKFZ), Heidelberg.
Jörg Rahnenführer,
Max-Plack-Institute for Informatics, Saarbrücken.
Axel Benner, German
Cancer Research Center (DKFZ), Heidelberg.
Introduction:
The NGFN Microarray Data Analysis Resource aims to
improve the bioinformatics and statistics support for the design and
analysis of gene expression data in the NGFN (German National Genome
Research Network).
Courses in Practical Microarray Analysis: Basic techniques
are taught in regularly held courses focussing on the practical side
of gene expression data analysis.
Workshops on Good Statistical Practice: The start of the
NGFN's second phase provides great motivation for the open discussion
of guidelines and best practices for clinicians and biologists who
work with microarrays. The discussion will focus on two major
activities in microarray studies:
-
From the genomic signature to a clinical profile,
and
-
From a gene list to biological function.
Additional relevant aspects related to statistical
design, clinical epidemiology, and methodological quality in published
work will also be discussed. Good practice workshops will be held
twice a year to transfer good methodological practice into the work of
specific project groups in the NGFN.
For more advanced and project specific
bioinformatics problems the contributing bioinformatics groups are
open for collaborations with biological and clinical research groups
in the NGFN.
| 
