Modeling and Analysis of Bio-molecular Networks
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Beschreibung
This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks?
Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships betweenthe structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing.
This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks?
Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships betweenthe structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing.
This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
Describes how to reconstruct bio-molecular networks Presents modeling and analysis approaches for bio-molecular networks ranging from network motifs to large-scale networks Discusses various sophisticated statistical methods for analysing large-scale bio-molecular networks and omics data
Autor*in
Jinhu Lü
Themen in »Modeling and Analysis of Bio-molecular Networks«
Systems Biology Complex Networks Biostatistics Biomolecular Network Biological Network Mathematical Biology Computational Biology
Stimmen zu »Modeling and Analysis of Bio-molecular Networks«
“The book is built as a much-needed bridge between a life-sciences perspective and mathematical/computational modelling. The book is addressed to a wide audience, being written in an accessible style, middle-way between a textbook and a collection of state-of-the-art reviews. … The authors succeed at creating a much-needed resource that responds, with the appropriate amount of information, to current needs.” (Irina Ioana Mohorian, zbMATH 1522.92001, 2023)
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