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A web interface is also being implemented to query and visualize the results.
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Two types of search tabs have also been implemented to perform queries and to retrieve and browse the resulting sequences.
The web-based interfaces and software tools are implemented to facilitate the query and analysis of this comprehensive dataset.
Computational algorithms like Connectivity Map, SEA and others could be implemented to enable fast querying of the data so that the most similar virus to an unknown could be found, and from there the most active compounds.
In that paper, the python codes were implemented to make a SPARQL query to an early prototype of MolHub, i.e., "CoMo CompChem".
A prototype system GeosensorNodeManager is implemented to provide the functions of modeling, querying, and visualizing node resources.
Finally a set of dictionaries was implemented to be used via SQL queries or locally via a Java API built upon the Apache Lucene text-search engine.
Perl scripts and SQL queries were implemented to parse the text files and load them to the database.
Binary search tree indices (BTREE) were implemented to increase the speed of queries using the study_id and seq_id columns.
Second, a graphical user interface (GUI) has been implemented to allow easy and flexible queries of the database.
Further, it is possible to calculate distances between geo-objects (Figure 2E) and, finally, a query tool was implemented to identify distinct GMO fields.
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