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. Â 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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