LEADER 05020nam 2200601Ia 450 001 9910481964003321 005 20200520144314.0 010 $a1-280-38833-1 010 $a9786613566256 010 $a3-642-15120-5 024 7 $a10.1007/978-3-642-15120-0 035 $a(CKB)2670000000036379 035 $a(SSID)ssj0000446405 035 $a(PQKBManifestationID)11318124 035 $a(PQKBTitleCode)TC0000446405 035 $a(PQKBWorkID)10491628 035 $a(PQKB)11459701 035 $a(DE-He213)978-3-642-15120-0 035 $a(MiAaPQ)EBC3065660 035 $a(PPN)149018266 035 $a(EXLCZ)992670000000036379 100 $a20100708d2010 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData integration in the life sciences $e7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010 ; proceedings /$fPatrick Lambrix, Graham Kemp (eds.) 205 $a1st ed. 2010. 210 $aBerlin ;$aNew York $cSpringer$d2010 215 $a1 online resource (X, 215 p. 82 illus.) 225 1 $aLecture notes in bioinformatics ;$v6254 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-15119-1 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Provenance Management for Data Exploration -- High-Performance Systems for in Silico Microscopy Imaging Studies -- Ontology Engineering -- Discovering Evolving Regions in Life Science Ontologies -- On Matching Large Life Science Ontologies in Parallel -- A System for Debugging Missing Is-a Structure in Networked Ontologies -- Web Services -- On the Secure Sharing and Aggregation of Data to Support Systems Biology Research -- Helping Biologists Effectively Build Workflows, without Programming -- A Data Warehouse Approach to Semantic Integration of Pseudomonas Data -- Data Mining and Text Mining -- The Cinderella of Biological Data Integration: Addressing Some of the Challenges of Entity and Relationship Mining from Patent Sources -- Algorithm for Grounding Mutation Mentions from Text to Protein Sequences -- Handling Missing Features with Boosting Algorithms for Protein?Protein Interaction Prediction -- Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration -- Information Management -- Integrative Information Management for Systems Biology -- An Integration Architecture Designed to Deal with the Issues of Biological Scope, Scale and Complexity -- Quality Assessment of MAGE-ML Genomic Datasets Using DescribeX -- Search Computing: Integrating Ranked Data in the Life Sciences. 330 $aThe development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organisms and diseases, which increasingly depends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer sequence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identified in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25?27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, a key component for semantic integration; Web services as an important technology for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for different types of applications related to cancer, systems biology and - cro array experimental data, and an approach for integrating ranked data in the life sciences. 410 0$aLecture notes in computer science.$pLecture notes in bioinformatics ;$v6254. 606 $aData mining$vCongresses 606 $aWeb usage mining$vCongresses 615 0$aData mining 615 0$aWeb usage mining 676 $a570.285 701 $aLambrix$b Patrick$0753907 701 $aKemp$b Graham$0110845 712 12$aDILS 2010 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910481964003321 996 $aData integration in the life sciences$94201704 997 $aUNINA