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Data Integration in the Life Sciences

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For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genome... Weiterlesen
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For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing complex, voluminous, and heterogeneous data and guiding the analysis of data are thus of paramount importance and necessitate the involvement of data integration techniques. DILS 2008 was the ?fth in a workshop series that aims at fostering disc- sion, exchange, and innovation in research and development in the area of data integration for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world and saw an increase of submitted - pers over the preceding one. This year was not an exception and the number of submitted papers increased to 54. The ProgramCommittee selected 18 of them. The selected papers cover a wide spectrum of theoretical and practical issues including data annotation, Semantic Web for the life sciences, and data mining on integrated biological data.


Keynote Presentations.- Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues.- BioWarehouse: Relational Integration of Eleven Bioinformatics Databases and Formats.- Data Integration in the Life Sciences: Fun, Findings and Frustrations.- Semantic Web for the Life Sciences.- Analyzing the Evolution of Life Science Ontologies and Mappings.- Ontology Design Principles and Normalization Techniques in the Web.- Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Pairs of Controlled Vocabulary Terms.- Designing and Evaluating Architectures to Integrate Biological Data.- Automatic Methods for Integrating Biomedical Data Sources in a Mediator-Based System.- VisGenome and Ensembl: Usability of Integrated Genome Maps.- An Entity Resolution Framework for Deduplicating Proteins.- New Architectures and Experience on Using Systems.- Semantic Representation and Querying of caBIG Data Services.- SisGen: A CORBA-Based Data Management Program for DNA Sequencing Projects.- Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species.- ENFIN - An Integrative Structure for Systems Biology.- Systems Using Technologies from the Semantic Web for the Life Sciences.- A System for Ontology-Based Annotation of Biomedical Data.- Bio2RDF : A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse.- OMIE: Ontology Mapping within an Interactive and Extensible Environment.- Chemical Knowledge for the Semantic Web.- Mining Integrated Biological Data.- Combining One-Class Classification Models Based on Diverse Biological Data for Prediction of Protein-Protein Interactions.- Semi Supervised Spectral Clustering for Regulatory Module Discovery.- New Features of Major Resources for Biomolecular Data.- UniProtKB/Swiss-Prot: New and Future Developments.- EBI Proteomics Services.- DILS 2008 Tutorial.- Bio-ontologies Tutorial.


Titel: Data Integration in the Life Sciences
Untertitel: 5th International Workshop, DILS 2008, Evry, France, June 25-27, 2008, Proceedings
EAN: 9783540698289
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: Medizin
Anzahl Seiten: 209
Veröffentlichung: 17.06.2008
Dateigrösse: 10.0 MB

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