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A Reliable and Distributed LIMS for Efficient Management of the Microarray Experiment Environment
Jin, Hee-Jeong ; Lee, Jeong-Won ; Cho, Hwan-Gue
Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)
A microarray is a principal technology in molecular biology. It generates thousands of expressions of genotypes at once. Typically, a microarray experiment contains many kinds of information, such as gene names, sequences, expression profiles, scanned images, and annotation. So, the organization and analysis of vast amounts of data are required. Microarray LIMS (Laboratory Information Management System) provides data management, search, and basic analysis. Recently, microarray joint researches, such as the skeletal system disease and anti-cancer medicine have been widely conducted. This research requires data sharing among laboratories within the joint research group. In this paper, we introduce a web based microarray LIMS, SMILE (Small and solid MIcroarray Lims for Experimenters), especially for shared data management. The data sharing function of SMILE is based on Friend-to-Friend (F2F), which is based on anonymous P2P (Peer-to-Peer), in which people connect directly with their "friends". It only allows its friends to exchange data directly using IP addresses or digital signatures you trust. In SMILE, there are two types of friends: "service provider", which provides data, and "client", which is provided with data. So, the service provider provides shared data only to its clients. SMILE provides useful functions for microarray experiments, such as variant data management, image analysis, normalization, system management, project schedule management, and shared data management. Moreover, it connections with two systems: ArrayMall for analyzing microarray images and GENAW for constructing a genetic network. SMILE is available on http://neobio.cs.pusan.ac.kr:8080/smile.
||Technische Fakultät, Arbeitsgruppen der Informatik
Jin, Hee-Jeong ; Lee, Jeong-Won ; Cho, Hwan-Gue (2007
) A Reliable and Distributed LIMS for Efficient Management of the Microarray Experiment Environment.
Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 4(1), 2007. Special Issue: Data Warehouse Technologies in Bioinformatics, Wittenberg, Germany, 2006