BMC Genomics | |
IntegromeDB: an integrated system and biological search engine | |
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
【 预 览 】
Files | Size | Format | View |
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RO202311095083474ZK.pdf | 2623KB | download |
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