Several startups are forming now to try and make use of all this new genetic
information through computational techniques. It seems to me that lisp has a
lot to offer these projects - they play to so many of lisp strengths. They are,
for the most part, projects involving high performance, complex analysis and
correlation of large amounts of data. The winners in this market will have to
develop sophisticated and efficent software quickly.
Unlike the software developed in the recent dot-com and e-commerce boom, much
of this software will have to be capable of performing some fairly
sophisticated and intelligent computation. Like the recent dot-com boom, most
of this software won't be subject to strict client integration requirements and
can run fairly anonymously on a backend server.
It seems to me that a handful of smart lisp programmers could make a big splash
here.
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miles egan
> Several startups are forming now to try and make use of all this new genetic
> information through computational techniques. It seems to me that lisp has a
> lot to offer these projects - they play to so many of lisp strengths. They are,
Check BioLisp.org:
Paolo
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EncyCMUCLopedia * Extensive collection of CMU Common Lisp documentation
http://cvs2.cons.org:8000/cmucl/doc/EncyCMUCLopedia/