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Graph Database System
One of the central needs for an ambitious, data-heavy
project such as this is an efficient data management plan. Here we
propose to develop a three stage approach to developing a database
for this GTL project. In the first stage, we propose the creation
of simple, custom-made flat-file databases that allow upload and
retrieval by simple query of the standard data types generated by
the project. Second, we will create and maintain a relational database
framework to store the disparate data types in a structured format
that will facilitate more complex queries and adhere to current standards
of data storage and interchange made large at the NCBI and by working
groups such as MGED for microarray information. Third, most of the
novel work in this Core group will go into exploring the use of a
class of database not yet used for biological network information—a
graph database. Such databases are far better suited to queries on
pathway structure and function. |
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