I have been programming in R since beginning of 2007. R has become the language on which I spend most time on, thanks to its power of statistics, visualization and to its nature as a lovely scripting language. And I have been active contributor to the Bioconductor community, where R software packages are contributed by programmers from different fields and peer-reviewed. These software target many aspects of genome biology, for example microarray analysis, pathway integration, and next-generation sequencing pipelines.

I have been coaching R and Bioconductor for the further education program in DKFZ since 2009. The course is divided into two parts: essential R (slides) and essential Bioconductor (slides), targeting users of different interests. The main topics of the seminars are summarized in DKFZ Fortbildung 2009. The slides can be used also as self-teaching materials.

For a list of R/Bioconductor software I have developed, please see my work on the computational biology.  Specifically I am interested in developing R software packages for

• Data analysis and visualization of quantitative high-throughput cell-based assays,
• Image and video analysis of high-content microscope,
• Clinical and molecular pathological data integration, and
  
• Data mining for oncology and disease-related signaling pathways.