Editors:
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1611)
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Table of contents (16 protocols)
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Front Matter
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Back Matter
About this book
This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls.
Thorough and cutting-edge, Protein Function Prediction: Methods and Protocols is a valuable and practical guide for using bioinformatics tools for investigating protein function</p>
Editors and Affiliations
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Department of Biological Sciences and Computer Science, Purdue University, West Lafayette, USA
Daisuke Kihara
Bibliographic Information
Book Title: Protein Function Prediction
Book Subtitle: Methods and Protocols
Editors: Daisuke Kihara
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-7015-5
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media LLC 2017
Hardcover ISBN: 978-1-4939-7013-1Published: 28 April 2017
Softcover ISBN: 978-1-4939-8368-1Published: 17 July 2018
eBook ISBN: 978-1-4939-7015-5Published: 27 April 2017
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 239
Number of Illustrations: 11 b/w illustrations, 71 illustrations in colour
Topics: Protein Science