Semantic integration of data on transcriptional regulation
| Autor: | Michael Baitaluk, Julia Ponomarenko |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Statistics and Probability
Transcription Genetic Computer science Gene regulatory network Genomics computer.software_genre Biochemistry Annotation Text mining Gene Regulatory Networks Semantic integration Molecular Biology business.industry Ontology-based data integration Computational Biology Original Papers Data science Computer Science Applications Data mapping Computational Mathematics ComputingMethodologies_PATTERNRECOGNITION Gene Expression Regulation Computational Theory and Mathematics Graph (abstract data type) ComputingMethodologies_GENERAL Data mining business computer Data integration |
| Zdroj: | Bioinformatics. 26:1651-1661 |
| ISSN: | 1367-4811 1367-4803 |
| DOI: | 10.1093/bioinformatics/btq231 |
| Popis: | Motivation: Experimental and predicted data concerning gene transcriptional regulation are distributed among many heterogeneous sources. However, there are no resources to integrate these data automatically or to provide a ‘one-stop shop’ experience for users seeking information essential for deciphering and modeling gene regulatory networks. Results: IntegromeDB, a semantic graph-based ‘deep-web’ data integration system that automatically captures, integrates and manages publicly available data concerning transcriptional regulation, as well as other relevant biological information, is proposed in this article. The problems associated with data integration are addressed by ontology-driven data mapping, multiple data annotation and heterogeneous data querying, also enabling integration of the user's data. IntegromeDB integrates over 100 experimental and computational data sources relating to genomics, transcriptomics, genetics, and functional and interaction data concerning gene transcriptional regulation in eukaryotes and prokaryotes. Availability: IntegromeDB is accessible through the integrated research environment BiologicalNetworks at http://www.BiologicalNetworks.org Contact: baitaluk@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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