BMC Genomics (Jan 2012)

IntegromeDB: an integrated system and biological search engine

  • Baitaluk Michael,
  • Kozhenkov Sergey,
  • Dubinina Yulia,
  • Ponomarenko Julia

DOI
https://doi.org/10.1186/1471-2164-13-35
Journal volume & issue
Vol. 13, no. 1
p. 35

Abstract

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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.

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