High through-put microarray based analysis
methods e.g. gene expression profiling, Matrix CGH (comparative
genom hybridization), miRNA profiling, protein profiling, or high
density tissue microarrays are now routinely used in molecular
oncology. However, these methods generate large amounts of data
that have to be evaluated and analyzed. Further, the array data
have to be linked with anonymized patients clinical and
pathologic records or with corresponding information on
experimental settings deposited in diverse type of databases. Our
goal is to offer the group members easy to use statistics, data
analysis, and bioinformatics data management tools. Molecular
biologists as well as clinicians should be able to retrieve
install and use these tools without prior extensive training or
teaching.
We use a combination of commercial, freeware and self developed tools to cope with this tasks, for details please visit Christian Schwager's page at DKFZ, University of Heidelberg Medical School.