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020 _a9781493975280
024 7 _a10.1007/978-1-4939-7528-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH634.5
_b2018 EB
245 0 0 _aMetabolic Network Reconstruction and Modeling :
_bMethods and Protocols
_cedited by Marco Fondi
250 _a1st edition 2018
264 1 _aNew York, NY
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XI, 410 páginas)
_b103 ilustraciones, 92 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v1716
520 _aThis 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.
988 _aSpringer_Protocols_2018
650 7 _2embne
_9138638
_aMetabolismo
_vManuales de laboratorio
776 0 8 _iPrinted edition:
_z9781493975273
776 0 8 _iPrinted edition:
_z9781493975297
776 0 8 _iPrinted edition:
_z9781493985111
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-7528-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b10/2023
_dz
_eb
_zSI