Data Mining Techniques for the Life Sciences (3rd ed. 2022)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2449
Release date:	May 2023
First published:	2022
Editors:	Oliviero Carugo • Frank Eisenhaber
Dimensions:	254 x 178mm (L x W)
Pages:	390
Edition:	3rd ed. 2022
ISBN-13:	978-1-07-162097-7
Categories:	Books
LSN:	1-07-162097-5
Barcode:	9781071620977

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