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More About This Textbook
Overview
This book constitutes the refereed proceedings of the 6th International Workshop on Data Integration in the Life Sciences, DILS 2009, held in Manchester, UK, on July 20-22, 2009. The 15 revised papers included in this volume together with 2 invited papers were carefully reviewed and selected. The papers cover the following topics: graph-based modelling and integration, annotation, structure inference, data and work flows, data integration for systems biology. The workshop brings together results on a collection of different strands of data integration research, in particular reflecting the evolving nature of biological data sources and integration requirements.
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Table of Contents
Keynote Presentations.- Data Integration and Exchange for Scientific Collaboration.- Data Integration and Semantic Enrichment of Systems Biology Models and Simulations.- Graph-Based Modelling and Integration.- Linking Life Sciences Data Using Graph-Based Mapping.- Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes.- OpenFlyData: The Way to Go for Biological Data Integration.- Annotation.- On the Reachability of Trustworthy Information from Integrated Exploratory Biological Queries.- Estimating the Quality of Ontology-Based Annotations by Considering Evolutionary Changes.- Integration and Mining of Genomic Annotations: Experiences and Perspectives in GFINDer Data Warehousing.- Structure Inference.- Site-Wide Wrapper Induction for Life Science Deep Web Databases.- An Adaptive Combination of Matchers: Application to the Mapping of Biological Ontologies for Genome Annotation.- Slicing through the Scientific Literature.- Data and Work Flows.- Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources.- A Visual Interface for on-the-fly Biological Database Integration and Workflow Design Using VizBuilder.- EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments.- Data Integration for Systems Biology.- Design and Architecture of Web Services for Simulation of Biochemical Systems.- An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism.- Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking.