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Offers a study of genomic principles and their associated networks and models. Reflecting the hierarchical nature of systems biology, this volume provides discussions on a range of topics, from mass spectrometry to embryonic stem cells. It is useful for both students and researchers.
Systems Biology is a powerful new computational approach to studying complex living systems. Unlike traditional biology that examines single genes or proteins in isolation, systems biology simultaneously explores the complex interaction of many levels of interaction, leading to a new understanding of how they work together.
BetaSys uses the example of regulated exocytosis in pancreatic -cells, and its relevance to diabetes, to illustrate the major concepts of systems biology, its methods and applications.
Highlighting key research findings in a volatile, evolving field, this book presents pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data.
BetaSys uses the example of regulated exocytosis in pancreatic -cells, and its relevance to diabetes, to illustrate the major concepts of systems biology, its methods and applications.
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