Data mining techniques for the life sciences

Data mining techniques for the life sciences: methods and protocols

by Carugo, Oliviero

Type Book
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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,…

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Title Statements

  • Full title :Data mining techniques for the life sciences : methods and protocols / edited by Oliviero Carugo,... Frank Eisenhaber,....

Summary

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.

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Edition Statements

  • Publication Date:copyright 2022

Publication Statements

  • Publisher(s):Humana Press
  • Place of Publication:New York, NY
  • Language:eng
  • Publication Date:copyright 2022

The Physical Object

  • Description:1 vol. (XIII-390 p.) : : ill. ; : 26 cm.

Edition Identifiers

  • ISBN:9781071620946 (rel), 1071620940 (rel)
  • oclc:on1343190315

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