TY - BOOK ID - 8503440 TI - Systems Biology Application in Synthetic Biology PY - 2016 SN - 8132228073 813222809X PB - New Delhi : Springer India : Imprint: Springer, DB - UniCat KW - Life sciences. KW - Bioinformatics. KW - Systems biology. KW - Biostatistics. KW - Life Sciences. KW - Systems Biology. KW - Computational Biology/Bioinformatics. KW - Synthetic biology. KW - Computational biology KW - Bioinformatics KW - Biological systems KW - Molecular biology KW - Biology KW - Engineering KW - Bioengineering KW - Biological models. KW - Statistical methods. KW - Bio-informatics KW - Biological informatics KW - Information science KW - Systems biology KW - Models, Biological KW - Data processing KW - Biological statistics KW - Biometrics (Biology) KW - Biostatistics KW - Biomathematics KW - Statistics KW - Statistical methods UR - https://www.unicat.be/uniCat?func=search&query=sysid:8503440 AB - This book introduces students to methods that will help them understand behaviour in terms of cellular components and their interactions in non-intuitive ways, which calls for an interdisciplinary approach combining mathematical, chemical, computational and biological strategies. Tibor Ganti was one of the early pioneers who proposed a theoretical framework to understand living principles in terms of chemical transformation cycles and their coupling. The twenty-first century then brought with it a novel ‘systems’ paradigm, which shone new light on all previous work and was accompanied by numerous implications for the way we conceive of chemical and biological complexity today. This book seeks to equip students to take advantage of any field that investigates living systems. Based on a conceptualisation of science-oriented branches, engineering-oriented branches and biology as astoundingly complex fields, those structures laden with biochemical detail encompass a deeper theory unifying our knowledge of designed systems. Readers will be pleasantly surprised at how lucidly the topics are presented. The book offers an indispensable resource for students and professionals working in systems and synthetic biology or any of the various related fields of research. ER -