Data Mining Techniques for the Life Sciences

This third edition provides updated methods and protocols for accessing and analyzing important databases and data mining tools in the life sciences. It covers topics such as macromolecular sequence archives, protein-protein interaction databases, methods for predicting conformational disorder, mutant thermodynamic stability, aggregation, and drug response. The book is written in the format of the highly successful Methods in Molecular Biology series and includes step-by-step, readily reproducible protocols.

Format: Hardback
Length: 390 pages
Publication date: 05 May 2022
Publisher: Springer-Verlag New York Inc.

This third edition presents comprehensive and up-to-date coverage of novel and revised methodologies and protocols for essential databases and data mining tools. The chapters provide step-by-step guidance for navigating archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for predicting conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Additionally, the book delves into the quality of structural data, their release, applications of soft mechanics in biology, protein flexibility, 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, a list of necessary materials, and readily reproducible protocols. Authored by esteemed experts in the field, Data Mining Techniques for the Life Sciences, Third Edition serves as an invaluable resource for researchers seeking to advance their understanding and expertise in this rapidly evolving domain.

Weight: 954g
Dimension: 254 x 178 (mm)
ISBN-13: 9781071620946
Edition number: 3rd ed. 2022