Team:Groningen/modeling cumulus

From 2011.igem.org

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=Vision=
=Vision=
We imagine a world in which biolegist are able to share their data with the click of a button. A world in which torough reliable measuring procedures exist that help scientist caracterise their parts at the click of a button.
We imagine a world in which biolegist are able to share their data with the click of a button. A world in which torough reliable measuring procedures exist that help scientist caracterise their parts at the click of a button.
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* [https://2011.igem.org/Team:Groningen/genetic_algorithms Genetic algorithms] allow cumulus to explore very large parameters spaces.
* [https://2011.igem.org/Team:Groningen/genetic_algorithms Genetic algorithms] allow cumulus to explore very large parameters spaces.
* Reap the benifits of overlapping experiment, our modeling system allows you to use data from two experiments that share some, but not all, biobrick parts to improve the characterisation of all parts in both experiments.
* Reap the benifits of overlapping experiment, our modeling system allows you to use data from two experiments that share some, but not all, biobrick parts to improve the characterisation of all parts in both experiments.
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Revision as of 07:55, 20 September 2011


Cumulus

Cumulus is the Cloud based, modeling and data exchange program that we developed. It is uses genetic algoritms to


Links

Here are some links that migth awnser you emidiate questions:

  • [Cloud aren't they the white stuff floating in the sky?]
  • [A iGEM application in the cloud, Why would you do that?]
  • [I work in a genetics department, but what about the algoritm part?]


Vision

We imagine a world in which biolegist are able to share their data with the click of a button. A world in which torough reliable measuring procedures exist that help scientist caracterise their parts at the click of a button. A world in which not just data but also the models supporting that data


Cumulus is our way of making this world come a littlecloser.

How we came to building Cumulus

Even building a simpel model of

We quickly discovered that the proportion of It is for these reasons that we started work on Cumulus.

Advantages of Cumulus

The ad

Advantages of a cloud based aplication

  • General public acces, everyone can use everyones data
  • Sharing computational resources enables us the reap the econmy of scale.
  • The flexibilety of a cloud application helps to avoid the resource wast of underutilisation.


Share in cheap and en enjoy

Advantages of our generic modeling approuch

  • Exchangable models, Share not only you data but also the model wich you think describes the data.
  • Simulate your cells unsing a simple simulation engine
  • Fit the paramaters of you simulation to exprimental data at the click of a button.
  • Genetic algorithms allow cumulus to explore very large parameters spaces.
  • Reap the benifits of overlapping experiment, our modeling system allows you to use data from two experiments that share some, but not all, biobrick parts to improve the characterisation of all parts in both experiments.