Similarly to GoR, NAGA enables users to create more precise queries than in the case of using natural language parsers, however, it provides more functionality.
recommendation of variables automatically associated with appropriate types allowing to create more precise queries in a simpler manner, variable properties enabling to discover relations connecting given objects, recommendation of types and relations allowing to avoid error-prone mapping between query terms and ontology types or properties.
There are no facilities to create more precise queries based on several object types or with any number of user-defined constraints.
We present a web interface for building precise queries for biological DBs that can construct much more precise queries than most web-based query forms, yet that is user friendly enough to be used by biologists.
PhyloFinder also expands the power of phylogenetic queries, offering more precise options for identifying different types of subtrees and more metrics for identifying similar trees than TreeBASE.
Furthermore, in practice, as words are more precise than lemmas when submitting a query, each lemma is replaced by its most frequently inflected form in the transcript of the segment or document considered.
All of the above motivated us to offer alternative queries, also known as the 'Also try' feature in PubMed, that will return more precise result (i.e. smaller result sets) than that of the user's initial query.
To provide a more precise estimate of the number of unique genes, consensus sequences were queried against the 27,695 sequences from the Human RefSeq [ 48] database, then grouped by identical gene symbol.
These queries will become more powerful as these generic 'is associated with' relationships are made more precise ('catalyzes' for kinases, 'catalyzes removal' for phosphatases, etc).. Aside from its use in direct association queries, the 'is_associated_with' property also forms the root of the property hierarchy used in Gene Wiki+.
