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Data Mining Techniques for the Life Sciences - Oliviero Carugo
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Oliviero Carugo:

Data Mining Techniques for the Life Sciences - hardcover

ISBN: 9781493935703

Hardback, [PU: Humana Press Inc.], This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers throu… More...

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Data Mining Techniques for the Life Sciences
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Data Mining Techniques for the Life Sciences - new book

ISBN: 9781493935703

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… More...

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Gebr. - Data Mining Techniques for the Life Sciences (Methods in Molecular Biology)
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Gebr. - Data Mining Techniques for the Life Sciences (Methods in Molecular Biology) - new book

2016

ISBN: 9781493935703

Letzte Aktualisierung am: 28.03.19 09:35:03 Binding: Gebundene Ausgabe, Edition: 2nd ed. 2016, Label: Humana Press, Publisher: Humana Press, medium: Gebundene Ausgabe, numberOfPages: 552,… More...

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4
Data Mining Techniques for the Life Sciences - Oliviero Carugo; Frank Eisenhaber
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Oliviero Carugo; Frank Eisenhaber:
Data Mining Techniques for the Life Sciences - hardcover

2016, ISBN: 9781493935703

Buch, Hardcover, 2nd ed. 2016, [PU: Humana Press Inc.], Humana Press Inc., 2016

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Data Mining Techniques for the Life Sciences - Oliviero Carugo; Frank Eisenhaber
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Oliviero Carugo; Frank Eisenhaber:
Data Mining Techniques for the Life Sciences - hardcover

2016, ISBN: 9781493935703

[ED: 2], 2nd ed. 2016, Hardcover, Buch, [PU: Humana Press Inc.]

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Details of the book
Data Mining Techniques for the Life Sciences

This volume details several important databases and data mining tools. Data Mining Techniques fo....

Details of the book - Data Mining Techniques for the Life Sciences


EAN (ISBN-13): 9781493935703
ISBN (ISBN-10): 1493935704
Hardcover
Publishing year: 2016
Publisher: Humana Press Inc.

Book in our database since 2016-11-11T09:14:17-05:00 (New York)
Detail page last modified on 2024-03-24T11:10:43-04:00 (New York)
ISBN/EAN: 9781493935703

ISBN - alternate spelling:
1-4939-3570-4, 978-1-4939-3570-3
Alternate spelling and related search-keywords:
Book author: olivie, olivier
Book title: for data science, data mining, science life


Information from Publisher

Author: Oliviero Carugo; Frank Eisenhaber
Title: Methods in Molecular Biology; Data Mining Techniques for the Life Sciences
Publisher: Humana; Springer US
552 Pages
Publishing year: 2016-04-27
New York; NY; US
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XIII, 552 p. 97 illus., 84 illus. in color.

BB; Hardcover, Softcover / Biologie; DV-gestützte Biologie/Bioinformatik; Verstehen; protein-protein interactions; align RNA sequences; thermodynamics; “Kbdock” protein domain structure database; PDB_REDO databank; protein crystallizability; Bioinformatics; EA; BC

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.

aims to ensure successful results in the further study of this vital field.

Data Mining Techniques for the Life Sciences, Second Edition Methods in Molecular Biology Data Mining Techniques for the Life Sciences, Second Edition

Protein Residue Contacts and Prediction Methods.- The Recipe for Protein Sequence-Based Function Prediction and its Implementation in the Annotator Software Environment.- Big Data, Evolution, and Metagenomes: Predicting Disease from Gut Microbiota Codon Usage Profiles.- Big Data in Plant Science: Resources and Data Mining Tools for Plant Genomics and Proteomics.

 

.- 

Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing
Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts Includes supplementary material: sn.pub/extras

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