- From: e.crampin at auckland.ac.nz (Edmund J. Crampin)
- Subject: [cellml-discussion] in case you haven't seen it | "Why Are Computational Neuroscience and Systems Biology So Separate?"
- Date: Tue, 03 Jun 2008 19:01:08 +1200
James, I thought yours was a rhetorical question, no?
Edmund
James Lawson wrote:
>
Hi Peter,
>
>
I guess I framed it as a question to the community, but it was more of
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a leading question that I'd like to address in the paper on the
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repository. What I'm really talking about is the common preconception
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that SBML and CellML are designed to fill the same niches. The niches
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overlap but are not the same; I see the idea of CellML as part of the
>
Physiome Project as being quite a powerful way of explaining its niche.
>
>
With respect to the existence of multiple standards, I would go even
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further: it is essential to have more than one standard for
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representing this kind of information, lest the standard define the
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field, rather than the field defining the standard.
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>
Cheers,
>
James Lawson
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>
>
Peter Hunter wrote:
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> Hi James,
>
>
>
> Re your final question - the Physiome Project at the moment is
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> largely about (i) the development of the markup languages CellML and
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> FieldML (& maybe ModelML for the physics) and their associated model
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> repositories and software tools, and (ii) strategies for bridging
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> spatial and temporal scales. I see no reason at all not to include
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> neuroscience in this picture - in fact there are a number of
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> initiatives relating to a 'brain physiome' just getting underway. The
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> essence of the Physiome is the recognition of the need to link models
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> of structure and function across spatial scales from nm to m and
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> temporal scales from brownian motion to human lifetime turnover of
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> proteins. Easy to say ...
>
>
>
> While CellML and SBML are in some way competing standards, both
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> communities are helping one another greatly by promoting the idea of
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> modelling standards .. and provided we can convert between them,
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> there's no particular disadvantage in having two standards.
>
>
>
> Cheers,
>
> Peter
>
>
>
> James Lawson wrote:
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>> Hi folks,
>
>>
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>> Pretty interesting read. I actually came to what I do now through a
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>> heavy cellular neurosci background so this disconnect between
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>> systems biology and neurosci is something that has really bugged me.
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>> They mention in the paper that SBML doesn't provide the spatial
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>> support needed for it to be useful to computational neuroscientists.
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>> CellML with its emphasis on multiscalar integration and modularity
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>> along with FieldML to describe the geometric information could
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>> address these issues.
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>>
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>> Also, I'm always interested in how CellML is represented in these
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>> kinds of publications. It is usually seen (as in this paper,) by
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>> systems biologists as a competing language for describing systems
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>> biology, which is understandable but only partly true. I think we
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>> need to seriously market CellML as a Physiome language, a lot more
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>> than we do. This will be a topic in the upcoming paper about the
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>> CellML repository I'm starting to put together - that is: the name
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>> of the software is Physiome Model Repository 2 - what has it got to
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>> do with the Physiome Project then?
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>>
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>>
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>> Kind regards,
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>> James
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>>
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>> David Nickerson wrote:
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>>> Why Are Computational Neuroscience and Systems Biology So Separate?
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>>> http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000078
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>>>
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>>>
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>>>
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>>> some interesting comments, although not totally accurate...
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>>
>
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>
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