Overview
- Features chapters on the fundamentals of Gene Ontology, its use in gene annotation, and its application in bioinformatic analyses
- Emphasizes providing practical guidance and troubleshooting advice
- Assumes no prior knowledge yet serves as an informative and useful text for experts as well
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1446)
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Table of contents (21 protocols)
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Front Matter
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Fundamentals
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Front Matter
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Making Gene Ontology Annotations
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Front Matter
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Evaluating Gene Ontology Annotations
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Front Matter
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Keywords
About this book
This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system.
Editors and Affiliations
Bibliographic Information
Book Title: The Gene Ontology Handbook
Editors: Christophe Dessimoz, Nives Škunca
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-3743-1
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2017
Hardcover ISBN: 978-1-4939-3741-7Published: 22 November 2016
Softcover ISBN: 978-1-4939-8126-7Published: 23 June 2018
eBook ISBN: 978-1-4939-3743-1Published: 01 November 2016
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 305
Number of Illustrations: 6 b/w illustrations, 50 illustrations in colour
Topics: Bioinformatics