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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 An Ontology-Driven Framework for Data Transformation in Scientific Workflows
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    Chapter 2 PROVA: Rule-Based Java-Scripting for a Bioinformatics Semantic Web
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    Chapter 3 Process Based Data Logistics: a Solution for Clinical Integration Problems
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    Chapter 4 Domain-Specific Concepts and Ontological Reduction within a Data Dictionary Framework
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    Chapter 5 A Universal Character Model and Ontology of Defined Terms for Taxonomic Description
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    Chapter 6 On the Application of Formal Principles to Life Science Data: a Case Study in the Gene Ontology
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    Chapter 7 Index-Driven XML Data Integration to Support Functional Genomics
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    Chapter 8 Heterogeneous Data Integration with the Consensus Clustering Formalism
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    Chapter 9 LinkSuite TM : Formally Robust Ontology-Based Data and Information Integration
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    Chapter 10 BioDataServer : an Applied Molecular Biological Data Integration Service
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    Chapter 11 Columba : Multidimensional Data Integration of Protein Annotations
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    Chapter 12 On the Integration of a Large Number of Life Science Web Databases
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    Chapter 13 Efficient Techniques to Explore and Rank Paths in Life Science Data Sources
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    Chapter 14 Links and Paths through Life Sciences Data Sources
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    Chapter 15 Pathway and Protein Interaction Data: from XML to FDM Database
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