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Title:
Metabolic network reconstruction and modeling : methods and protocols / edited by Marco Fondi.
Publisher:
Humana Press ;
Copyright Date:
2018
Description:
xi, 410 pages : illustrations (some color) ; 26 cm
Subject:
Cell metabolism--Laboratory manuals.
Cell metabolism.
Laboratory manuals.
Laboratory manuals.
Other Authors:
Fondi, Marco, editor.
Notes:
Includes bibliographical references and index.
Contents:
Optimization of multi-omic genome-scale models : methodologies, hands-on tutorial, and perspectives / Supreeta Vijayakumar, Max Conway, Pietro Li o, and Claudio Angione. Analyzing and designing cell factories with OptFlux / Paulo Vilaca, Paulo Maia, Hugo Giesteira, Isabel Rocha, and Miguel Rocha -- MONGOOSE rational arithmetic toolbox / Christopher Le and Leonid Chindelevitch -- FASTCORE family : for the fast reconstruction of compact context-specific metabolic networks models / Maria Pires Pacheco and Thomas Sauter -- Reconstruction and analysis of central metabolism in microbes / Janaka N. Edirisinghe, Jose P. Faria, Nomi L. Harris, Benjamin H. Allen, and Christopher S. Henry -- Using PSAMM for the curation and analysis of genome-scale metabolic models / Keith Dufault-Thompson, Jon Lund Steffensen, and Ying Zhang -- Integration of comparative genomics with genome-scale metabolic modeling to investigate strain-specific phenotypical differences / Jonathan Monk and Emanuele Bosi -- Template-assisted metabolic reconstruction and assembly of hybrid bacterial models / Tiziano Vignolini, Alessio Mengoni, and Marco Fondi -- Integrated host-pathogen metabolic reconstructions / Anu Raghunathan and Neema Jamshidi -- Metabolic model reconstruction and analysis of an artificial microbial ecosystem / Chao Ye, Nan Xu, Xiulai Chen, and Liming Liu -- RNA sequencing and analysis in microorganisms for metabolic network reconstruction / Eva Pinatel and Clelia Peano -- Differential proteomics based on 2D-difference in-gel electrophoresis and tandem mass spectrometry for the elucidation of biological processes in antibiotic-producer bacterial strains / Giuseppe Gallo and Andrea Scaloni -- Techniques for large-scale bacterial genome manipulation and characterization of the mutants with respect to in silico metabolic reconstructions / George C. diCenzo and Turlough M. Finan -- Computational prediction of synthetic lethals in genome-scale metabolic models using fast-SL / Karthik Raman, Aditya Pratapa, Omkar Mohite, and Shankar Balachandran -- Coupling fluxes, enzymes, and regulation in genome-scale metabolic models / Paul A. Jensen -- Dynamic flux balance analysis using DFBAlab / Jose Alberto Gomez and Paul I. Barton -- Designing optimized production hosts by metabolic modeling / Christian Jungreuthmayer, Matthias P. Gerstl, David A. Pena Navarro, Michael Hanscho, David E. Ruckerbauer, and Jā‚¬urgen Zanghellini -- Optimization of multi-omic genome-scale models : methodologies, hands-on tutorial, and perspectives / Supreeta Vijayakumar, Max Conway, Pietro Li o, and Claudio Angione.
Summary:
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.
Series:
Methods in molecular biology, 1064-3745 ; volume 1716
Springer protocols, 1949-2448
ISBN:
9781493975273
1493975277
OCLC:
(OCoLC)1004109203
LCCN:
2017959614
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.