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Metabolic Network Reconstruction and Modeling - Methods and Protocols (Hardcover, 1st ed. 2018) Loot Price: R6,121
Discovery Miles 61 210
Metabolic Network Reconstruction and Modeling - Methods and Protocols (Hardcover, 1st ed. 2018): Marco Fondi

Metabolic Network Reconstruction and Modeling - Methods and Protocols (Hardcover, 1st ed. 2018)

Marco Fondi

Series: Methods in Molecular Biology, 1716

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Loot Price R6,121 Discovery Miles 61 210 | Repayment Terms: R574 pm x 12*

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This volume looks at the latest methodologies used to study cellular metabolism with in silico approaches. The chapters in this book are divided into 3 parts: part I discusses tools and methods used for metabolic reconstructions and basic constraint-based metabolic modeling (CBMM); Part II explores protocols for the generation of experimental data for metabolic reconstruction and modeling, including transcriptomics, proteomics, and mutant generations; and Part III cover advanced techniques for quantitative modeling of cellular metabolism, including dynamic Flux Balance Analysis and multi-objective optimization. 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. Cutting-edge and thorough, Metabolic Network Reconstruction and Modeling: Methods and Protocols is a valuable resource for qualified investigators studying cellular metabolism, and novice researchers who want to start working with CBMM.

General

Imprint: HumanaPress
Country of origin: United States
Series: Methods in Molecular Biology, 1716
Release date: December 2017
First published: 2018
Editors: Marco Fondi
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 410
Edition: 1st ed. 2018
ISBN-13: 978-1-4939-7527-3
Categories: Books > Science & Mathematics > Biology, life sciences > Cellular biology > General
LSN: 1-4939-7527-7
Barcode: 9781493975273

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