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The Gene Ontology Handbook

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Cover of 'The Gene Ontology Handbook'

Table of Contents

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    Book Overview
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    Chapter 1 Primer on Ontologies
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    Chapter 2 The Gene Ontology and the Meaning of Biological Function
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    Chapter 3 Primer on the Gene Ontology
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    Chapter 4 Best Practices in Manual Annotation with the Gene Ontology
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    Chapter 5 Computational Methods for Annotation Transfers from Sequence
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    Chapter 6 Text Mining to Support Gene Ontology Curation and Vice Versa
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    Chapter 7 How Does the Scientific Community Contribute to Gene Ontology?
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    Chapter 8 Evaluating Computational Gene Ontology Annotations
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    Chapter 9 Evaluating Functional Annotations of Enzymes Using the Gene Ontology
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    Chapter 10 Community-Wide Evaluation of Computational Function Prediction
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    Chapter 11 Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools
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    Chapter 12 Semantic Similarity in the Gene Ontology
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    Chapter 13 Gene-Category Analysis
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    Chapter 14 Gene Ontology: Pitfalls, Biases, and Remedies
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    Chapter 15 Visualizing GO Annotations
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    Chapter 16 A Gene Ontology Tutorial in Python
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    Chapter 17 Annotation Extensions
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    Chapter 18 The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations
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    Chapter 19 Complementary Sources of Protein Functional Information: The Far Side of GO
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    Chapter 20 Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes
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    Chapter 21 The Vision and Challenges of the Gene Ontology
Attention for Chapter 21: The Vision and Challenges of the Gene Ontology
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Chapter title
The Vision and Challenges of the Gene Ontology
Chapter number 21
Book title
The Gene Ontology Handbook
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-3743-1_21
Pubmed ID
Book ISBNs
978-1-4939-3741-7, 978-1-4939-3743-1
Authors

Suzanna E. Lewis

Editors

Christophe Dessimoz, Nives Škunca

Abstract

The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and biomedicine with all current functional information concerning genes and the cellular context under which these occur. When the GO was started in the 1990s surprisingly little attention had been given to how functional information about genes was to be uniformly captured, structured in a computable form, and made accessible to biologists. Because knowledge of gene, protein, ncRNA, and molecular complex roles is continuously accumulating and changing, the GO needed to be a dynamic resource, accurately tracking ongoing research results over time. Here I describe the progress that has been made over the years towards this goal, and the work that still remains to be done, to make of the Gene Ontology (GO) Consortium realize its goal of offering the most comprehensive and up-to-date resource for information on gene function.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 6%
France 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 4 22%
Student > Bachelor 3 17%
Professor > Associate Professor 2 11%
Student > Master 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 39%
Computer Science 3 17%
Biochemistry, Genetics and Molecular Biology 1 6%
Mathematics 1 6%
Immunology and Microbiology 1 6%
Other 2 11%
Unknown 3 17%