We've been successful in securing a large government grant with an open source component. The 3-year project concerns the enantioselective synthesis of PZQ for a low price, with the World Health Organisation as partner. (PDF of the Uni Sydney outcomes is here). The funding comes from the Australian Research Council (the main government funding agency in Australia). We wrote the proposal emphasising the possibilities inherent in the open source approach to doing science, and we're very pleased that this was seen as positive by an official grant-funding agency. The funding will allow us to increase our efforts on using TSL to drive our project forward much faster.
I would like to introduce my open-source project at Stanford, GemIdent:
http://www.gemident.com
http://en.wikipedia.org/wiki/GemIdent
GemIdent specializes in color image segmentation using supervised machine learning. For example, you can use it to locate and count cells in microscopic images:
The need to share raw NMR data effectively brought up a small technical challenge, and there have been posts about this here and here. Using our transfer hydrogenation result as a random example, we thought we'd try jspecview, and the .dx file is attached to this post. We've been having problems with this, in that the attached is an FID, not the spectrum, and jspecview doesn't like it. Surely an FID is more useful/interesting? Surely it shouldn't matter?
Do you want to change the future of biological research? Are you looking for a unique opportunity to empower researchers to openly share information? OpenWetWare is a community of thousands of researchers from around the world who freely share their ideas, results, tools, and wisdom. Our project has largely been volunteer driven to date; we are now looking to hire a managing director.
