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Team:Berkeley Software/Data Model
From 2009.igem.org
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| - | With the growing number of parts available to synthetic biologists, the amount of data needed to identify and describe these parts grows as well. However, there is a lack of a unified data model to organize this data. As a result, each institution's database of parts looks slightly different from the databases at other institutions, making tool development for the wider community difficult. Clotho Classic | + | With the growing number of parts available to synthetic biologists, the amount of data needed to identify and describe these parts grows as well. However, there is a lack of a unified data model to organize this data. As a result, each institution's database of parts looks slightly different from the databases at other institutions, making tool development for the wider community difficult. Clotho Classic had a database connection manager that could connect to many different types of databases. However, this manager was limited and could only connect to databases with structures similar to its internal data. Clotho builds upon this idea, and now includes a much more robust database connection module that can deal with a larger range of database organizational patterns. This is accomplished by allowing the user to extend the core set of keywords that the tools linked into Clotho may use. This functionality will allow Clotho to be useful during while the standards in the synthetic biology community continue to be developed. |
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Revision as of 02:35, 6 October 2009
- Eugene
- Spectacles
- Kepler
- Data Model
Data Model
Introduction
With the growing number of parts available to synthetic biologists, the amount of data needed to identify and describe these parts grows as well. However, there is a lack of a unified data model to organize this data. As a result, each institution's database of parts looks slightly different from the databases at other institutions, making tool development for the wider community difficult. Clotho Classic had a database connection manager that could connect to many different types of databases. However, this manager was limited and could only connect to databases with structures similar to its internal data. Clotho builds upon this idea, and now includes a much more robust database connection module that can deal with a larger range of database organizational patterns. This is accomplished by allowing the user to extend the core set of keywords that the tools linked into Clotho may use. This functionality will allow Clotho to be useful during while the standards in the synthetic biology community continue to be developed.
Put content here
