
Systems Biology and In-Depth Applications for Unlocking Diseases
Principles, Tools, and Application to Disease
Babak Sokouti(Editor)
Academic Press
Published on 8. November 2024
Book
Paperback/Softback
354 pages
978-0-443-22326-6 (ISBN)
Description
Systems Biology and In-Depth Applications for Unlocking Diseases provides the essence of systems biology approaches in a practical manner illustrating the basic principles essential to develop and model in real life science applications. Methodologies covered show how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment.
Systematically written in 4 parts, this book first provides an introduction and history of systems biology; second, it provides the tools and resources needed for the structure and function of biological systems; next, it provides the evidence of systems biology in action to better understand disease connections; and finally, it provides the extensions of systems biology in various scientific fields including pharmacology, immunology, vaccinology, neuroscience, virology, and medicine. Examples include big data techniques, scale networks, mathematical model development, and much more.
This is the perfect reference to provide the fundamental base of knowledge needed for systems biologists, professionals in systems medicine, computational biologists, and bioinformaticians, whether needed for immediate application or for building a comprehensive understanding of the field.
Systematically written in 4 parts, this book first provides an introduction and history of systems biology; second, it provides the tools and resources needed for the structure and function of biological systems; next, it provides the evidence of systems biology in action to better understand disease connections; and finally, it provides the extensions of systems biology in various scientific fields including pharmacology, immunology, vaccinology, neuroscience, virology, and medicine. Examples include big data techniques, scale networks, mathematical model development, and much more.
This is the perfect reference to provide the fundamental base of knowledge needed for systems biologists, professionals in systems medicine, computational biologists, and bioinformaticians, whether needed for immediate application or for building a comprehensive understanding of the field.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 276 mm
Width: 216 mm
Weight
980 gr
ISBN-13
978-0-443-22326-6 (9780443223266)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Babak Sokouti
Systems Biology and In-Depth Applications for Unlocking Diseases
Principles, Tools, and Application to Disease
E-Book
11/2024
Elsevier
€170.00
Available for download
Person
Dr. Sokouti is an Assistant Professor and Head of Systems Medicine, Bioinformatics, and Molecular Modeling Laboratory, Biotechnology Research Center, Tabriz University of Medical Sciences. This is his third edited book, and he has authored multiple book chapters and journal articles.
Editor
Assistant Professor and Head of Systems Medicine, Bioinformatics, and Molecular Modeling Laboratory, Biotechnology Research Center, Tabriz University of Medical Sciences, Iran
Content
Systems biology at a glance
Brief information on cellular biology and signaling pathways
The multiscale causality nature of human cancer: A systemic approach
From sketch to landscape: Transforming neuronal concepts across technological change
Challenges in evolutionary computing in the context of integrated bioinformatics
Kinetics and dynamics of biological systems
Biological data sources for advancement in system biology
High-throughput data analysis in systems biology: Techniques, challenges and applications in modern scientific research
High throughput data: Single-nucleotide polymorphisms in depth
The significance and evolution of biological databases in systems biology
Programming, tools, and software
Big data analysis techniques
Reconstruction of genomic and proteomic scale network structures and functions
Validation strategies in systems biology research
Systems in pharmacology - principles, methods, and applications
Systems immunology
Systems virology
Systems vaccinology
Systems neuroscience
Implications of systems in biology understanding the pathophysiology of neurological diseases
Systems medicine
From systems thinking to P4 medicine
Systems biology of cancer
Repurposing, effects, design, and discovery of drugs in systems biology
Future directions on systems biology
Brief information on cellular biology and signaling pathways
The multiscale causality nature of human cancer: A systemic approach
From sketch to landscape: Transforming neuronal concepts across technological change
Challenges in evolutionary computing in the context of integrated bioinformatics
Kinetics and dynamics of biological systems
Biological data sources for advancement in system biology
High-throughput data analysis in systems biology: Techniques, challenges and applications in modern scientific research
High throughput data: Single-nucleotide polymorphisms in depth
The significance and evolution of biological databases in systems biology
Programming, tools, and software
Big data analysis techniques
Reconstruction of genomic and proteomic scale network structures and functions
Validation strategies in systems biology research
Systems in pharmacology - principles, methods, and applications
Systems immunology
Systems virology
Systems vaccinology
Systems neuroscience
Implications of systems in biology understanding the pathophysiology of neurological diseases
Systems medicine
From systems thinking to P4 medicine
Systems biology of cancer
Repurposing, effects, design, and discovery of drugs in systems biology
Future directions on systems biology