Items related to Data Mining Techniques for the Life Sciences (Methods...
Synopsis
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 Edition aims to ensure successful results in the further study of this vital field.
"synopsis" may belong to another edition of this title.
From the Back Cover
High throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing. Having such diversity of alternatives, there is a demand for information by research scientists without experience in HTS that need to choose the most suitable methodology or combination of platforms and to define their experimental designs to achieve their specific objectives. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing
"About this title" may belong to another edition of this title.
Search results for Data Mining Techniques for the Life Sciences (Methods...
Stock Image
Data Mining Techniques for the Life Sciences.
Published by
New York, NY, Springer New York; : Humana Press., 2016
ISBN 10: 1493935704
ISBN 13: 9781493935703
Used
Hardcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Seller rating 5 out of 5 stars
2nd ed. 2017. 25.4 cm x 17.8 cm, 0 g. XIII, 552 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. 2nd edition. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Methods in Molecular Biology ; 1415. Sprache: Englisch. Seller Inventory # 2646CB
Quantity: 1 available
Stock Image
DATA MINING TECHNIQUES FOR THE LIFE SCIENCES (HB)
Seller: Basi6 International, Irving, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-10848
Quantity: 1 available
Stock Image
DATA MINING TECHNIQUES FOR THE LIFE SCIENCES
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26375621889
Quantity: 1 available
Stock Image
DATA MINING TECHNIQUES FOR THE LIFE SCIENCES
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 370423518
Quantity: 1 available
Stock Image
Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 1415)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2716030185853
Quantity: Over 20 available
Stock Image
DATA MINING TECHNIQUES FOR THE LIFE SCIENCES
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 18375621899
Quantity: 1 available
Stock Image
Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 1415)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781493935703_new
Quantity: Over 20 available
Seller Image
Data Mining Techniques for the Life Sciences
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge methods and protocolsProvides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the expertsIncludes cutting-edge methods and protocolsProvides st. Seller Inventory # 105836876
Quantity: Over 20 available
Seller Image
Data Mining Techniques for the Life Sciences
Published by
Springer New York Apr 2016, 2016
ISBN 10: 1493935704
ISBN 13: 9781493935703
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Edition aims to ensure successful results in the further study of this vital field. 568 pp. Englisch. Seller Inventory # 9781493935703
Quantity: 2 available
Seller Image
Data Mining Techniques for the Life Sciences
Published by
Springer New York, Springer New York, 2016
ISBN 10: 1493935704
ISBN 13: 9781493935703
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Edition aims to ensure successful results in the further study of this vital field. Seller Inventory # 9781493935703
Quantity: 1 available