One of the first book on systems biology for the classroom
Offers flexible way to choose the topics
Each chapter can be used as an independent project
Features contributions from key scientists in the field, such as Drs. John Tyson, Alex Mogilner nad Jae Kyoung Kim
Dr. Kraikivski is a Professor in Academy of integrated Science, Division of Systems Biology at Virginia Tech where he teaches Systems Biology and Integrated Science classes. His current research focus is on developing a generic computational model of cancer which can successfully explain high-throughput genetic, proteomic and phenotypic Big Data. He is a biophysicist and systems biologist by training with more than 25 peer-reviewed publications on cell cycle regulation, intracellular transport, anomalous diffusion and dynamics of biopolymers. He is a member of several journals´ editorial boards and he also was involved in book editing and writing chapters in biophysics, computational and systems biology fields.
This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources.
The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.
This book provides case studies that can be used in Systems Biology related classes. The book presents a summary of results and references to more relevant sources. The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.
This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources.
The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.
Introduction.- Guide to using the book.- Case studies.-Genetic regulatory network.- Synthetic biology switches.- Repressilator.- lac operon.- Bacterial physiology.- Bursting oscillators.- Glycolytic oscillations.- Signaling Pathways.- NF-kB signaling.- Chemotaxis.- Circadian Rhythms.- Cell cycle regulation.- Stem cells differentiation.- T-cells differentiation regulation.- Apoptosis regulation.- Future Trends in Systems Biology.
Dr. Kraikivski is a Professor in Academy of integrated Science, Division of Systems Biology at Virginia Tech where he teaches Systems Biology and Integrated Science classes. His current research focus is on developing a generic computational model of cancer which can successfully explain high-throughput genetic, proteomic and phenotypic Big Data. He is a biophysicist and systems biologist by training with more than 25 peer-reviewed publications on cell cycle regulation, intracellular transport, anomalous diffusion and dynamics of biopolymers. He is a member of several journals' editorial boards and he also was involved in book editing and writing chapters in biophysics, computational and systems biology fields.
Über den Autor
Dr. Kraikivski is a Professor in Academy of integrated Science, Division of Systems Biology at Virginia Tech where he teaches Systems Biology and Integrated Science classes. His current research focus is on developing a generic computational model of cancer which can successfully explain high-throughput genetic, proteomic and phenotypic Big Data. He is a biophysicist and systems biologist by training with more than 25 peer-reviewed publications on cell cycle regulation, intracellular transport, anomalous diffusion and dynamics of biopolymers. He is a member of several journals' editorial boards and he also was involved in book editing and writing chapters in biophysics, computational and systems biology fields.
Inhaltsverzeichnis
Introduction.- Guide to using the book.- Case studies.-Genetic regulatory network.- Synthetic biology switches.- Repressilator.- lac operon.- Bacterial physiology.- Bursting oscillators.- Glycolytic oscillations.- Signaling Pathways.- NF-kB signaling.- Chemotaxis.- Circadian Rhythms.- Cell cycle regulation.- Stem cells differentiation.- T-cells differentiation regulation.- Apoptosis regulation.- Future Trends in Systems Biology.
Klappentext
This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources.
The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.
One of the first book on systems biology for the classroom
Offers flexible way to choose the topics
Each chapter can be used as an independent project
Features contributions from key scientists in the field, such as Drs. John Tyson, Alex Mogilner nad Jae Kyoung Kim
