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Munich Information Center for Protein Sequences
About: Munich Information Center for Protein Sequences is a research topic. Over the lifetime, 79 publications have been published within this topic receiving 6967 citations.
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22 Jun 2006TL;DR: SYMBIOS is presented, a fully-fledged biomedical information integration solution based on semantic pervasive services that combine a Service Oriented Architecture (SOA) and semantically-empowered techniques to ascertain biomedical information intelligent integration.
Abstract: Applying semantic pervasive services to Biomedical research is providing a new breed of intelligent applications which can tackle with the heterogeneity and intrinsic complexity of biomedical information integration. Using semantics leverages the potential of enabling cross-interoperability among a variety of storage and data formats widely distributed both across the Internet and within individual organizations. In this paper, we present SYMBIOS, a fully-fledged biomedical information integration solution based on semantic pervasive services that combine a Service Oriented Architecture (SOA) and semantically-empowered techniques to ascertain biomedical information intelligent integration. We discuss our approach with a proof-of-concept implementation where the breakthroughs and efficiency of integrating the biomedical publications database MEDLine, the Database of Interacting Proteins (DIP) and the Munich Information Center for Protein Sequences (MIPS) has been tested.
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TL;DR: G-language Genome Analysis Environment version 2 aims to provide a more flexible and sophisticated workbench for different layers of life sciences, including genome, transcriptome, proteome, metabolome, and systeome.
Abstract: G-language Project of Institute for Advanced Biosciences aims to introduce higher efficiency in genome analysis by: 1 Constructing an integrated environment for the development of analysis software 2 Systematically accumulating existing analysis software, methodologies for analysis and their results 3 Constructing generic analysis packages that allow users to avoid redundancy in the process of analysis We are currently developing G-language Genome Analysis Environment (G-language GAE)[1] version 2 which will be publicly released in Q2 of 2004 G-language GAE version 2 aims to provide a more flexible and sophisticated workbench for different layers of life sciences, including genome, transcriptome, proteome, metabolome, and systeome Software download is available at http://www g-languageorg/