ENGLISH

Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 1415)

By Frank Eisenhaber (Editor) , Oliviero Carugo (editor)

Book information

Publisher
Humana
Year
2016
ISBN
1493935704, 9781493935703
Language
english
Format
PDF
Filesize
18 MB (19137842 bytes)
Pages
565\549
Time added
2024-03-19 02:38:18

Description

This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Second Editionaims to ensure successful results in the further study of this vital field.

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