Statistical Computing

My research interests are primarily in statistical computing. A research project started with Ross Ihaka has evolved into the R language. You can find out more about R here. Software and other information is available from CRAN (or a local mirror), This paper ( MSC ) gives some of my current thinking about statistical computing.

Bioinformatics and Computational Biology

While I am still actively working on R I tend to get more of my inspiration from Computational Biology these days. I have started a new research project (with lots of others) called Bioconductor that is exploring the use of statistical computing (R, of course) in Computational Biology (Bioinformatics, Functional Genomics, Proteomics). In addition to Bioconductor, I am also working on projects involving software for genomic data integration, synthetic genetic interactions, as well as flow cytometry.

Topics that seem to be relevant:

graphs, rendering and visualization annotation, attaching data from different sources to experimental data obtained from microarray experiments or proteomic experiments Software Innovation, a recent talk given at UBC and the Fred Hutchinson Cancer Research Center. Here is a recent publication on Gene Expression Profiles.

Reproducible Research

Duncan Temple Lang and I have been exploring some ideas about reproducible research and navigable documents with dynamic content. One of our projects is the development of compendiums. A couple of examples are available at the BioConductor Project .

Others working on similar project include Anthony Rossini , Friedrich Leisch and Vince Carey