Team:Berkeley Software/Data Model

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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 attempted to have a database connection manager that could connect to many different types of databases. The new Clotho built upon this idea, and now includes a much more robust database connection module that can deal with a larger range of database organizational patterns, as well as 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 this period of data model development.
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Revision as of 15:18, 30 September 2009






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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 attempted to have a database connection manager that could connect to many different types of databases. The new Clotho built upon this idea, and now includes a much more robust database connection module that can deal with a larger range of database organizational patterns, as well as 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 this period of data model development.



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