==> bluegene (bluegene) 提到:
> Computational biology though has advanced in recent years
> because of the increase of cpu power and improvement of
> methodology but I would NOT say computational biology
> alone can solve the gene/protein function and regulation
> problem without "traditional experimental biology".
> Experimental biology are evolving rapidly. In the post-
> genomincs era, functional genomics, structural genomics and
> proteomics, etc. will be the focus. And this can be done
> only when experimental biology and informatics are combined
> in a creative way.
Bravo! very well put.
> The problem with bioinformatics and computational biology by
> our current technology is that they deal with information
> efficiently but when encountering the MEANING of information
> they seem to be dumb. I would hope this can be improved soon.
> The "meaning" has to be sought in the context of biology,
> which experimental biology still has to play the role.
I agree with you totally. At current, comptational biology
is still in infant stage that the lack of experts in both
computation and biology retards the development of biological
algorithms that can evoluate mass biological data in meaningful
ways. This problem is decreaseing as many institutions establish
computational biology programs that concentrating on training
this combination of expertise.
In my original post, the "traditional experimental biology"
I was referring to the traditional experimental approach that
tries to understand system more or less base on mass experimental
trial-and-error.
(After rereading, I have to admit I did not word my phases
properly, Hereby i give my apology.)
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☆ [Origin:椰林風情] [From: GRUEL99.PPP.ANDREW.CMU.EDU] [Login: **] [Post: 95]
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☆ [Origin:椰林風情] [From: GRUEL99.PPP.ANDREW.CMU.EDU] [Login: **] [Post: 96]