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Book synopsis

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 further their study in this field.

Book details

Book category Books in English Mathematics & science Biology, life sciences Molecular biology

• Full title: Data Mining Techniques for the Life Sciences
• Author: Oliviero Carugo, Frank Eisenhaber
• Language: English
• Binding: Hardback
• Number of pages: 390
• EAN: 9781071620946
• ID: 38499720
• Publisher: Springer-Verlag New York Inc.
• Weight: 954 g
• Dimensions: 254 × 178 × 27 mm
• Date of publishing: 05. May 2022

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