Introduction to Bio-Ontologies
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Introduction to Bio-Ontologies: (Chapman & Hall/CRC Computational Biology Series)

Introduction to Bio-Ontologies: (Chapman & Hall/CRC Computational Biology Series)


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About the Book

Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications.The first part of the book defines ontology and bio-ontologies. It also explains the importan

Table of Contents:
Basic Concepts: Ontologies and Applications of Ontologies in Biomedicine. Mathematical Logic and Inference. Probability Theory and Statistics for Bio-Ontologies. Ontology Languages. Bio-Ontologies: The Gene Ontology. Upper-Level Ontologies. A Selective Survey of Bio-Ontologies. Graph Algorithms for Bio-Ontologies: Overrepresentation Analysis. Model-Based Approaches to GO Analysis. Semantic Similarity. Frequency-Aware Bayesian Network Searches in Attribute Ontologies. Inference in Ontologies: Inference in the Gene Ontology. RDFS Semantics and Inference. Inference in OWL Ontologies. Algorithmic Foundations of Computational Inference. SPARQL. Appendices. Bibliography. Index.

About the Author :
Peter N. Robinson is a research scientist and leader of the Computational Biology Group in the Institute of Medical Genetics and Human Genetics at Charite-Universitätmedizin Berlin. Dr. Robinson completed his medical education at the University of Pennsylvania, followed by an internship at Yale University. He also studied mathematics and computer science at Columbia University. His research interests involve the use of mathematical and bioinformatics models to understand biology and hereditary disease. Sebastian Bauer is a research assistant in the Institute of Medical Genetics and Human Genetics at Charite-Universitätmedizin Berlin. He earned a degree in computer science from the Technical University of Ilmenau. His research interests include mathematical modeling, discrete algorithms, theoretical computer science, software engineering, and the applications of these fields to medicine and biology.

Review :
"This book is one of the first source books in the field; it is well written and coherent. Its introduction gives the reader a good taste of what comes next and it also contains good exercises." —Mohsen Mahmoudi Aznaveh, ACM SIGACT News, 2013 "This welcome book could have been titled ‘all you wanted to know about bio-ontologies but didn’t dare ask.’ In recent years the biological sciences have generated very large, complex data sets whose management, analysis and sharing have created unprecedented challenges. The development of ontologies, originally driven by the invention of the semantic web, has been critical in handling this data and permitting interoperability between databases and between applications. Many of the bio-ontologies and the computational approaches which use them have now become mature, and an understanding of bio-ontologies has really become a requirement for anyone in the mainstream biomedical sciences. Introduction to Bio-Ontologies provides a self-contained introduction to ontologies for bioinformaticians, computer scientists and biomedical scientists who need to know about the computational background and implementation of ontologies. The book is designed to support either advanced undergraduate or master’s courses in bioinformatics or computer science but is also a first stop for any investigator who wants to understand ontologies and how to use them. The four parts of the book cover basic concepts, specific widely used ontologies, such as the Gene Ontology, algorithms and applications of ontologies. The breadth of coverage is impressive for such a compact volume and there is excellent critical discussion of ontologies from a biological as well as a computational point of view. The book succeeds well in its aim of providing a self-contained primer on ontologies and much of the mathematics used is backed up with detailed explanations and technical appendices which introduce and explain the more co


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Product Details
  • ISBN-13: 9781040195604
  • Publisher: Taylor & Francis Ltd
  • Binding: Digital (delivered electronically)
  • Series Title: Chapman & Hall/CRC Computational Biology Series
  • ISBN-10: 1040195601
  • Publisher Date: 22 Jun 2011
  • Language: English


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