Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels. The bo…
Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels. The bo…
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty' such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedba…
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty' such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedba…
Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical…
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They…
In the first part of this book we give an introduction to basic concepts from graph theory and systematics (Chapter 1). We briefly discuss the problem of aligning molecular sequences (Chapter 2) and give a more detailed introduction to the computation of phylogenetic trees from …
Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Đ#216;. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices…
Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to de…
