One of the biggest problems in Biologic Computing today is the predictability of bacterium's movements...How about this simple, relatively cheap project a cross functional team might be able to do at a University...
- Get feeds from the IBM public visualisation tool - specifically pictures of datasets. They can be Social Network activity feeds (or hub/colony'esque data). Here's one of many examples
- Grab the visualisations of them as well as the raw data
- Run some visual pattern matching software to compare these images against bacterium imagery - at varying scales of magnification
- Do the same pattern matching on the numbers
- See if anything interesting pops up in the pattern matching
Developing continually running real world feeds (API's/RSS or otherwise) from these types of public systems to visual biology computing resources would be potentially useful.
Their benefit is that they are
- continually updated, for free, and have simple XML descriptions of data.
- a constant public feed allow large elements of automation in such a project (bar the human analysis of 'matches' by the system)
- non-proprietary in nature and will 'out', in the end, for generating useful patterns vs custom expensive data capture
If you are up to stuff like this then I'd love to know about it. Mail me.
Recommended Reading: "Genesis Machines" by Martyn Amos
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