Overview
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 2449)
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About this book
This third edition details new and updated methods and protocols on important databases and data mining tools. Chapters guides readers through archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for prediction conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Quality of structural data and their release, soft mechanics applications in biology, and protein flexibility are considered, too, together with pan-genome analyses, rational drug combination screening and Omics Deep Mining. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials, includes step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Third Edition aims to be a practical guide to researches to help furthertheir study in this field.
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Keywords
Table of contents (15 protocols)
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Prediction Methods
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Data Quality
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining Techniques for the Life Sciences
Editors: Oliviero Carugo, Frank Eisenhaber
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-2095-3
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2022
Hardcover ISBN: 978-1-0716-2094-6Published: 05 May 2022
Softcover ISBN: 978-1-0716-2097-7Published: 06 May 2023
eBook ISBN: 978-1-0716-2095-3Published: 04 May 2022
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 3
Number of Pages: XIII, 390
Number of Illustrations: 11 b/w illustrations, 77 illustrations in colour
Topics: Bioinformatics