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Open Source Software Meets Do-It-Yourself Biology
destinyland writes "This article profiles a growing movement — DIY biology — that's made possible in part by open source tools. Using programs like BioPerl and BioPython, DIY biologists write their own code (computer and genetic), designing their own biological systems and altering the genome. A protein-folding simulator, Folding@home, is now the most powerful distributed computing cluster in the world, and as the movement evolves, cooperatives are also springing up where hobbyists pool resources and create 'hacker spaces' to reduce costs and share knowledge. 'As the shift to open source software continues, computational biology will become even more accessible, and even more powerful,' this article argues — while intellectual property and other bureaucracies continue to hobble traditional forms of research."
Vijay Pande is a Stanford professor and funded primarily by the same agencies that fund most of the biomedical research in this country - most importantly, the NIH. (Disclaimer: they fund my work too.) He has full-time scientists (i.e. people who spent most of their 20s in school) and computer engineers writing code and assistance from hardware vendors (ATI/AMD and NVIDIA, at least). FAH is a great example of how to leverage distributed computing resources and volunteer effort, and it's an excellent technical solution to what is potentially a very expensive problem, but the intellectual effort is *not* distributed. I don't mean any of this as a criticism (I wish I had five petaflops at my disposal too), but this is not an example of "hobbyists" performing research free of bureaucracy. (In fact, the umbrella project for much of Pande's work now has a relatively large bureaucracy at Stanford, which surely wasn't suffering from a lack of bureaucracy to begin with.)