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BMC Genomics. 2012 Jan 19;13:35. doi: 10.1186/1471-2164-13-35.

IntegromeDB: an integrated system and biological search engine.

Author information

1
San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. baitaluk@sdsc.edu

Abstract

BACKGROUND:

With the growth of biological data in volume and heterogeneity, web search engines become key tools for researchers. However, general-purpose search engines are not specialized for the search of biological data.

DESCRIPTION:

Here, we present an approach at developing a biological web search engine based on the Semantic Web technologies and demonstrate its implementation for retrieving gene- and protein-centered knowledge. The engine is available at http://www.integromedb.org.

CONCLUSIONS:

The IntegromeDB search engine allows scanning data on gene regulation, gene expression, protein-protein interactions, pathways, metagenomics, mutations, diseases, and other gene- and protein-related data that are automatically retrieved from publicly available databases and web pages using biological ontologies. To perfect the resource design and usability, we welcome and encourage community feedback.

PMID:
22260095
PMCID:
PMC3293773
DOI:
10.1186/1471-2164-13-35
[Indexed for MEDLINE]
Free PMC Article

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