Systems biology can best be described as the qualitative and quantitative study of biological processes as integrated systems rather than as isolated parts. Unlike traditional biology that has focused on single genes or proteins in isolation, systems biology is concerned with the study of complex interactions of many levels of biological information -- DNA, RNA, proteins, informational pathways --to understand how they work together. An emerging paradigm within systems biology is symbolic systems biology, in which biological phenomena such as signal transduction or metabolic pathways are modeled at the symbolic level of abstraction. Symbolic Systems Biology: Theory and Methods provides a single reference that describes the field and explains the methods of this growing area of study. Ideal for graduate students and researchers, this sourcebook includes the latest data from well-known contributors throughout this emerging field.
Features & Benefits
- An outstanding sourcebook for graduate students and researchers on the underlying theories, as well as the tools and methods currently available in symbolic systems biology.
- Includes contributed material from numerous well-known authors throughout this emerging field.
- An image bank is available online for instructor use.
Chapter 1 Symbolic Systems Biology and Pathway Logic
Chapter 2 Probabilistic Model Checking for Systems Biology
Chapter 3 Petri Nets for Systems Biology
Chapter 4 On Statecharts for Biology
Chapter 5 A Visual Process Calculus for Biology
Chapter 6 Software Tools for Biological Pathway Modeling
M.Sriram Iyengar, PhD-Assistant Professor, School of Health Information Sciences, University of Texas Health Science Center at Houston, Houston, Texas, Informatics Research Scientist, Medical Informatics and Health Care Systems, NASA Johnson Space Center, Houston, Texas