Article information
2008 , Volume 13, ¹ 6, p.102-120
Miginsky D.S., Labuzhsky V.V., Lavrentiev jr M.M., Morozov A.V., Sokolov S.
Databases semantic integration technology in system biology
The amount of data on biological and especially molecular-genetic systems is continuously growing. A large number of separate databases, different representation formats, and mistakes in initial data make modeling of the biosystems and analysis of such models essentially complicated. A technology for the semantic data integration is suggested for solving this problem. It is capable to: 1) reveal complementary data elements, index and integrate data by taking into account this information; 2) search for data in all sources integrated in structured way; 3) reveal the gaps, contradictions and mistakes in some cases. A prototype of software system implementing this technology is also described in this paper.
[full text] Keywords: Data integration, databases, distributed software systems, system biology
Author(s): Miginsky DenisS. Position: Junior Research Scientist Office: Institute of Cytology and Genetics SB RAS Address: 630090, Russia, Novosibirsk
Phone Office: (383) 333 29 71 E-mail: shadow@bionet.nsc.ru Labuzhsky ValeryV. Position: Programmer Office: Institute of Informatics Systems SB RAS Address: Russia, Novosibirsk, Novosibirsk
Phone Office: (383) 332 96 58 E-mail: unicorn@xtech.ru Lavrentiev jr MikhailM. Dr. , Associate Professor Position: Leading research officer Office: Sobolev Institute of Mathematics SB RAS Address: 630090, Russia, Novosibirsk
E-mail: mmlavr@nsu.ru Morozov AlexanderV. Position: Junior Research Scientist Office: Institute of Cytology and Genetics SB RAS Address: 630090, Russia, Novosibirsk
Phone Office: (383) 333 29 71 E-mail: lexx@bionet.nsc.ru Sokolov Sergey Office: Trafalgar Asset Managers Address: United kingdom, London, Novosibirsk
E-mail: info@sergeysokolov.com
Bibliography link: Miginsky D.S., Labuzhsky V.V., Lavrentiev jr M.M., Morozov A.V., Sokolov S. Databases semantic integration technology in system biology // Computational technologies. 2008. V. 13. ¹ 6. P. 102-120
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