Systems Biology

Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-1-4939-8491-6
Verlag: Springer

Buch, Englisch, Band 1702, 364 Seiten, Paperback, Format (B × H): 178 mm x 254 mm, Gewicht: 721 g

Reihe: Methods in Molecular Biology

This volume focuses on methodological aspects of systems biology in order to provide a new theoretical approach with a robust and tailored experimental support. Chapters detail mathematical modeling, methodological issues, modulation of the collective behavior, metabolic, dynamic profiling, and quantitative morphological studies. 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 practical, Systems Biology aims to ensure successful results in the further study of this vital field.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Bizzarri, Mariano

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Mathematische Modellierung

Inhaltsverzeichnis

Conceptual Challenges in the Theoretical Foundations of Systems Biology.- An Integrative Approach toward Biology, Organisms, and Cancer.- Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation.- A Primer on Mathematical Modeling in the Study of Organisms and their Parts.- The Search for System’s Parameters.- Inverse Problems in Systems Biology: A Critical Review.- Systems Biology Approach and Mathematical Modeling for Analyzing Phase-space Switch during Epithelial-mesenchymal Transition.- Parameters Estimation in Phase-space Landscape Reconstruction of Cell Fate; A Systems Biology Approach.- Complexity of Biochemical and Genetic Responses Reduced using Simple Theoretical Models.- Systems Biology Modelling of Non-linear Cancer Dynamics.- Endogenous Molecular-cellular Network Cancer Theory: A Systems Biology Approach.- A Network-based Integrative Workflow to Unravel Mechanisms Underlying Disease Progression.- Spatiotemporal Fluctuation Analysis of Molecular Diffusion Laws in Live-cell Membranes.- A Method for Cross-species Visualization and Analysis of RNA-sequence Data.- Multi Agent Simulations of Population Behavior (A Promising Tool for Systems Biology).- Metabolomics: Challenges and Opportunities in Systems Biology Studies.- Systems Biology-driven Hypotheses Tested In Vivo: The Need to Advancing Molecular Imaging Tools.