Librarian View

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001 16948888
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|a 9781071635773
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|a 10.1007/978-1-0716-3577-3 |2 doi
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|a (DE-He213)978-1-0716-3577-3
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|a 16948888
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|a QH324.2-324.25
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|a Systems Biology |h [electronic resource] / |c edited by Mariano Bizzarri.
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|a 2nd ed. 2024.
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|a New York, NY : |b Springer US : |b Imprint: Humana, |c 2024.
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|a 1 online resource (XVI, 256 p.) 53 illus., 43 illus. in color.
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|a text |b txt |2 rdacontent
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|a computer |b c |2 rdamedia
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|a online resource |b cr |2 rdacarrier
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|a text file |b PDF |2 rda
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|a Methods in Molecular Biology, |x 1940-6029 ; |v 2745
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|a Identifying Key In Silico Knockout for Enhancement of Limonene Yield through Dynamic Metabolic Modelling -- The Search for System's Parameters: A Statistical and Dynamical Description from Complex Network Analysis -- Untargeted Analysis of Short-Chain Peptides in Urine Samples Short Peptides Analysis -- Metastasis Models: Thermodynamics and Complexity -- Metabolomics: Challenges and Opportunities in Systems Biology Studies -- Optical Estimation of Bioelectric Patterns in Living Embryos -- Mathematical Modeling in the Study of Organisms and Their Parts -- Systems Biology Modelling of Cancer Non-Linear Dynamics -- From Cell States to Cell Fates: Control of Cell State Transitions -- Understanding Cell Differentiation through Single-Cell Approaches: Conceptual Challenges of the Systemic Approach -- Modelling Mammary Organogenesis from Biological First Principles: A Systems Biology Approach -- Systems Biology and Inborn Error of Metabolism: Analytical Strategy in Investigating Different Biochemical/Genetic Parameters -- Systems Biology Approach in Investigating Epithelial-Mesenchymal Transition (EMT) -- An Enhanced Quantitative Reverse Transcription-PCR Approach for Measuring Circulating MicroRNAs -- Systems Biology Approaches to Understanding COVID-19 Spread in the Population.
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|a Access restricted by licensing agreement.
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|a This second edition volume expands on the previous edition with discussions of the latest advancements and methods used by scientists to study systems biology. The chapters in this book are organized into four parts. Part One looks at models in systems biology and parameters identification such as short peptide analysis, metastasis models, and metabolomics. Part Two covers computational methods in the study of organisms, and cancer non-linear dynamics. Part Three discusses critical transition states across Waddington's like landscapes such as understanding cell differentiation through single-cell approaches and modeling mammary organogenesis from biological first principles. Part Four talks about specific fields of investigation including inborn errors of metabolism, system biology approach in epithelial-mesenchymal transition, and an approach to understanding how COVID-19 spreads in the population. 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 comprehensive, Systems Biology, Second Edition is a valuable tool for any researcher looking to learn more about this important and developing field.
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|a Access is available to the Yale community.
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|a Bioinformatics. |0 http://id.loc.gov/authorities/subjects/sh00003585
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|a Bizzarri, Mariano, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt |0 http://id.loc.gov/authorities/names/no2003112202
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|a SpringerLink (Online service) |0 http://id.loc.gov/authorities/names/no2005046756
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|a Springer protocols (Series) |0 http://id.loc.gov/authorities/names/no2008180772
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|t Springer Nature eBook
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|i Printed edition: |z 9781071635766
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|i Printed edition: |z 9781071635780
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|i Printed edition: |z 9781071635797
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|a Methods in molecular biology ; |v 2745. |0 http://id.loc.gov/authorities/names/n89671801
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|b yulintx |h None |z Online resource
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|z Online resource
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|y Online book |u https://yale.idm.oclc.org/login?URL=https://doi.org/10.1007/978-1-0716-3577-3
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|a QH324.2-324.25
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|a Yale Internet Resource |b Yale Internet Resource >> None|DELIM|16830497
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|a online resource
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|a 2024-01-17T10:52:56.000Z
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|a DO NOT EDIT. DO NOT EXPORT.
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|a https://doi.org/10.1007/978-1-0716-3577-3