The Gene Ontology Handbook / edited by Christophe Dessimoz, Nives Škunca.

Format:

Book

Author/Creator:

Škunca, Nives, author.

Dessimoz, Christophe, author.

Series:

Methods in Molecular Biology ; 1446

Methods in Molecular Biology, 1940-6029 ; 1446

Language:

English

Subjects (All):

Bioinformatics.

Local Subjects:

Bioinformatics.

Physical Description:

1 online resource (XII, 305 p. 56 illus., 50 illus. in color.)

Edition:

1st ed. 2017.

Place of Publication:

Cham Springer Nature 2017

New York, NY : Springer New York : Imprint: Humana, 2017.

Language Note:

English

Summary:

This book is open access under a CC BY 4.0 license. 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.

Contents:

Primer on Ontologies

The Gene Ontology and the Meaning of Biological Function

Primer on the Gene Ontology

Best Practices in Manual Annotation with the Gene Ontology

Computational Methods for Annotation Transfers from Sequence

Text Mining to Support Gene Ontology Curation and Vice Versa

How Does the Scientific Community Contribute to Gene Ontology?

Evaluating Computational Gene Ontology Annotations

Evaluating Functional Annotations of Enzymes Using the Gene Ontology

Community-Based Evaluation of Computational Function Prediction

Get GO!: Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools

Semantic Similarity in the Gene Ontology

Gene-Category Analysis

Gene Ontology: Pitfalls, Biases, and Remedies

Visualizing GO Annotations

A Gene Ontology Tutorial in Python

Annotation Extensions

The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations

Complementary Sources of Protein Functional Information: The Far Side of GO

Integrating Bio-Ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes

The Vision and Challenges of the Gene Ontology.

Notes:

CC BY

ISBN:

9781493937431

149393743X

OCLC:

1163855739