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Data Integration in the Life Sciences

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Cover of 'Data Integration in the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Data Integration in the Life Sciences
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    Chapter 2 Data Integration and Semantic Enrichment of Systems Biology Models and Simulations
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    Chapter 3 Linking Life Sciences Data Using Graph-Based Mapping
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    Chapter 4 Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
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    Chapter 5 OpenFlyData: The Way to Go for Biological Data Integration
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    Chapter 6 On the Reachability of Trustworthy Information from Integrated Exploratory Biological Queries
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    Chapter 7 Estimating the Quality of Ontology-Based Annotations by Considering Evolutionary Changes
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    Chapter 8 Integration and Mining of Genomic Annotations: Experiences and Perspectives in GFINDer Data Warehousing
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    Chapter 9 Site-Wide Wrapper Induction for Life Science Deep Web Databases
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    Chapter 10 An Adaptive Combination of Matchers: Application to the Mapping of Biological Ontologies for Genome Annotation
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    Chapter 11 Slicing through the Scientific Literature
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    Chapter 12 Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources
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    Chapter 13 A Visual Interface for on-the-fly Biological Database Integration and Workflow Design Using VizBuilder
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    Chapter 14 EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments
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    Chapter 15 Data Integration in the Life Sciences
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    Chapter 16 An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism
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    Chapter 17 Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking
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