1. 1 R&D via Open Source Software Robert Gentleman

2. 2 Overview  R&D  is expensive  typically involves many false starts  requires very flexible software infrastructure and access to data/problems  Open Source Software via Bioconductor is one way to achieve these aims  access to a broad community of users  flexible software with good visualization and statistical routines built in  active developer environment  good data and code sharing opportunities

3. 3 Then what  once a methodology is viewed as being of general value efforts should be made to commercialize it, make it fast, user friendly, etc  moving too quickly into this area is expensive and if the methods don’t pay off, then the investment is wasted

4. 4 How  most importantly common data structures need to be adopted  they need not be fixed in stone, but we want everyone to be using something similar, regardless of language (R, Java, C, Python)  this means that we can easily translate data sets between software packages and allows for shared development  each different person, working on a different project knows that they will be able to access and share data and hence we move towards interoperability (R calls Java, C calls R, Java calls Python)

5. 5 Tomorrow  FHCRC, off Fairview Ave, the Arnold Building, 9:30~4:00  we have to escort you in and out, so please be prompt  Nov 7, at FHCRC we will have a one day scientific meeting at the FHCRC, please contact me if you are interested in attending