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Christophe Dessimoz, Nives Skunca
(Beteiligte)
The Gene Ontology Handbook
Herausgegeben von Dessimoz, Christophe; Skunca, Nives
Softcover reprint of the original 1st ed. 2017. 2018. xii, 305 S. 6 SW-Abb., 50 Farbabb., 40 Farbtabell
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER NEW YORK; HUMANA PRESS 2018
ISBN: 1-493-98126-9 (1493981269)
Neue ISBN: 978-1-493-98126-7 (9781493981267)
Preis und Lieferzeit: Bitte klicken
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.
Part I: Fundamentals
1. Primer on Ontologies
Janna Hastings
2. The Gene Ontology and the Meaning of Biological Function
Paul D. Thomas
3. Primer on the Gene Ontology
Pascale Gaudet, Nives Skunca, James C. Hu, and Christophe Dessimoz
Part II: Making Gene Ontology Annotations
4. Best Practices in Manual Annotation with the Gene Ontology
Sylvain Poux and Pascale Gaudet
5. Computational Methods for Annotation Transfers from Sequence
Domenico Cozzetto and David T. Jones
6. Text Mining to Support Gene Ontology Curation and Vice Versa
Patrick Ruch
7. How Does the Scientific Community Contribute to Gene Ontology?
Ruth C. Lovering
Part III: Evaluating Gene Ontology Annotations
8. Evaluating Computational Gene Ontology Annotations
Nives Skunca, Richard J. Roberts, and Martin Steffen
9. Evaluating Functional Annotations of Enzymes Using the Gene Ontology
Gemma L. Holliday, Rebecca Davidson, Eyal Akiva, and Patricia C. Babbitt
10. Community-Based Evaluation of Computational Function Prediction
Iddo Friedberg and Predrag Radivojac
Part IV: Using the Gene Ontology
11. Get GO!: Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools
Monica Munoz-Torres and Seth Carbon
12. Semantic Similarity in the Gene Ontology
Catia Pesquita
13. Gene-Category Analysis
Sebastian Bauer
14. Gene Ontology: Pitfalls, Biases, and Remedies
Pascale Gaudet and Christophe Dessimoz
15. Visualizing GO Annotations
Fran Supek and Nives Skunca
16. A Gene Ontology Tutorial in Python
Alex Warwick Vesztrocy and Christophe Dessimoz
Part V: Advanced Gene Ontology Topics < 17. Annotation Extensions
Rachael P. Huntley and Ruth C. Lovering
18. The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations
Marcus C. Chibucos, Deborah A. Siegele, James C. Hu, and Michelle Giglio
Part VI: Beyond the Gene Ontology
19. Complementary Sources of Protein Functional Information: The Far Side of GO
Nicholas Furnham
20. Integrating Bio-Ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes
Spiros C. Denaxas
Part VII: Conclusion
21. The Vision and Challenges of the Gene Ontology
Suzanna E. Lewis