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Data Integration in the Life Sciences

Overview of attention for book
Cover of 'Data Integration in the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Changing the Model in Pharma and Healthcare – Can We Afford to Wait Any Longer?
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    Chapter 2 Ibidas: Querying Flexible Data Structures to Explore Heterogeneous Bioinformatics Data
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    Chapter 3 From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data
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    Chapter 4 OmixAnalyzer – A Web-Based System for Management and Analysis of High-Throughput Omics Data Sets
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    Chapter 5 The RDF Pipeline Framework: Automating Distributed, Dependency-Driven Data Pipelines
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    Chapter 6 Towards Interoperable BioNLP Semantic Web Services Using the SADI Framework
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    Chapter 7 Optimizing Similarity Computations for Ontology Matching - Experiences from GOMMA
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    Chapter 8 Semi-automatic Adaptation of Mappings between Life Science Ontologies
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    Chapter 9 Next Generation Cancer Data Discovery, Access, and Integration Using Prizms and Nanopublications
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    Chapter 10 Putting It All Together: The Design of a Pipeline for Genome-Wide Functional Annotation of Fungi in the Modern Era of “-Omics” Data and Systems Biology
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    Chapter 11 Mining Anti-coagulant Drug-Drug Interactions from Electronic Health Records Using Linked Data
Attention for Chapter 2: Ibidas: Querying Flexible Data Structures to Explore Heterogeneous Bioinformatics Data
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Citations

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4 Mendeley
Summary Dimensions citations
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Chapter title
Ibidas: Querying Flexible Data Structures to Explore Heterogeneous Bioinformatics Data
Chapter number 2
Book title
Data Integration in the Life Sciences
Published by
Springer, Berlin, Heidelberg, July 2013
DOI 10.1007/978-3-642-39437-9_2
Book ISBNs
978-3-64-239436-2, 978-3-64-239437-9
Authors

Marc Hulsman, Jan J. Bot, Arjen P. de Vries, Marcel J. T. Reinders

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 50%
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Computer Science 4 100%

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