IntegromeDB: an integrated system and biological search engine

BMC Genomics

Database

Yulia Dubinina¹  Michael Baitaluk¹  Sergey Kozhenkov¹  Julia Ponomarenko² 

[1] San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, 92093, La Jolla, CA, USA;San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, 92093, La Jolla, CA, USA;Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, 92093, La Jolla, CA, USA;

关键词: data integration;    search engine;    biological ontologies;   

DOI  :  10.1186/1471-2164-13-35

 received in 2011-10-19, accepted in 2012-01-19,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundWith 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.DescriptionHere, 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.ConclusionsThe 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.

【 授权许可】

CC BY   
© Baitaluk et al; licensee BioMed Central Ltd. 2012