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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 Asset Management Approach to Continuous Integration of Heterogeneous Biomedical Data
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    Chapter 2 Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability
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    Chapter 3 Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System
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    Chapter 4 Data Management Experiences and Best Practices from the Perspective of a Plant Research Institute
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    Chapter 5 A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
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    Chapter 6 Handling Multiple Foci in Graph Databases
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    Chapter 7 Completing the is-a Structure of Biomedical Ontologies
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    Chapter 8 Annotation-Based Feature Extraction from Sets of SBML Models
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    Chapter 9 REX – A Tool for Discovering Evolution Trends in Ontology Regions
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    Chapter 10 Towards Visualizing the Alignment of Large Biomedical Ontologies
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    Chapter 11 Discovering Relations between Indirectly Connected Biomedical Concepts
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    Chapter 12 Exploiting Semantics from Ontologies and Shared Annotations to Partition Linked Data
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    Chapter 13 ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data
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    Chapter 14 An Introduction to the Data Retrieval Facilities of the XQt Language for Scientific Data
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Title
Data Integration in the Life Sciences
Published by
Springer International Publishing, July 2014
DOI 10.1007/978-3-319-08590-6
ISBNs
978-3-31-908589-0, 978-3-31-908590-6
Editors

Galhardas, Helena, Rahm, Erhard

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United Kingdom 3 2%
Portugal 2 2%
France 2 2%
United States 2 2%
Norway 1 <1%
Ireland 1 <1%
Latvia 1 <1%
Bulgaria 1 <1%
Other 8 6%
Unknown 108 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 24 18%
Student > Master 18 14%
Student > Bachelor 12 9%
Student > Doctoral Student 7 5%
Other 30 23%
Unknown 6 5%
Readers by discipline Count As %
Computer Science 48 36%
Agricultural and Biological Sciences 29 22%
Engineering 11 8%
Biochemistry, Genetics and Molecular Biology 7 5%
Environmental Science 4 3%
Other 21 16%
Unknown 12 9%