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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 Challenges in Biological Data Integration in the Post-genome Sequence Era
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    Chapter 2 Curated Databases
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    Chapter 3 A User-Centric Framework for Accessing Biological Sources and Tools
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    Chapter 4 BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers
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    Chapter 5 Learning Layouts of Biological Datasets Semi-automatically
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    Chapter 6 Factors Affecting Ontology Development in Ecology
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    Chapter 7 Querying Ontologies in Relational Database Systems
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    Chapter 8 Scientific Names Are Ambiguous as Identifiers for Biological Taxa: Their Context and Definition Are Required for Accurate Data Integration
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    Chapter 9 The Multiple Roles of Ontologies in the BioMediator Data Integration System
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    Chapter 10 Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
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    Chapter 11 Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networks
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    Chapter 12 Semantic Correspondence in Federated Life Science Data Integration Systems
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    Chapter 13 Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
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    Chapter 14 Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW
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    Chapter 15 Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
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    Chapter 16 Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
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    Chapter 17 Hybrid Integration of Molecular-Biological Annotation Data
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    Chapter 18 Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata
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    Chapter 19 Performance-Oriented Privacy-Preserving Data Integration
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    Chapter 20 Building a Generic Platform for Medical Screening Applications Based on Domain Specific Modeling and Process Orientation
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    Chapter 21 Automatic Generation of Data Types for Classification of Deep Web Sources
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    Chapter 22 BioNavigation: Selecting Optimum Paths Through Biological Resources to Evaluate Ontological Navigational Queries
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    Chapter 23 Support for BioIndexing in BLASTgres
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    Chapter 24 An Environment to Define and Execute In-Silico Workflows Using Web Services
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    Chapter 25 Web Service Mining for Biological Pathway Discovery
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    Chapter 26 SemanticBio: Building Conceptual Scientific Workflows over Web Services
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    Chapter 27 PLATCOM: Current Status and Plan for the Next Stages
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    Chapter 28 SOAP API for Integrating Biological Interaction Databases
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    Chapter 29 Collaborative Curation of Data from Bio-medical Texts and Abstracts and Its integration
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    Chapter 30 Towards an Ontology Based Visual Query System
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    Chapter 31 Data Integration in the Biomedical Informatics Research Network (BIRN)
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    Chapter 32 Data Integration and Workflow Solutions for Ecology
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    Chapter 33 Eco-Informatics for Decision Makers Advancing a Research Agenda
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    Chapter 34 An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins
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    Chapter 35 The Biozon System for Complex Analysis of Heterogeneous Interrelated Biological Data and Discovery of Emergent Structures
Overall attention for this book and its chapters
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Title
Data Integration in the Life Sciences
Published by
Springer Berlin Heidelberg, August 2005
DOI 10.1007/11530084
ISBNs
978-3-54-027967-9, 978-3-54-031879-8
Editors

Ludäscher, Bertram, Raschid, Louiqa

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Finland 1 1%
Australia 1 1%
Unknown 82 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 7%
Student > Ph. D. Student 5 6%
Other 3 3%
Student > Master 3 3%
Professor 3 3%
Other 5 6%
Unknown 61 71%
Readers by discipline Count As %
Computer Science 6 7%
Environmental Science 5 6%
Earth and Planetary Sciences 5 6%
Agricultural and Biological Sciences 3 3%
Engineering 3 3%
Other 3 3%
Unknown 61 71%