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Molecular Biology is the story of the molecules of life, their relationships, and how these interactions are controlled. It is an expanding field in life sciences, and its applications are wide and growing. We can now harness the power of molecular biology to treat diseases, solve crimes, map human history, and produce genetically modified organisms and crops, and these applications have sparked a multitude of fascinating legal and ethical debates. In this Very Short Introduction, Aysha Divan and Janice Royds examine the history, present, and future of Molecular Biology. Starting with the building blocks established by Darwin, Wallace and Mendel, and the discovery of the structure of DNA in ...
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This book reviews the theoretical concepts and experimental details underpinning the broad range of modern technologies that are currently being used to advance our understanding of the biomolecular sciences.
Molecular Biology lies at the heart of all life sciences. This 'Very Short Introduction' provides an account of the development of this important modern field, and considers its modern day applications such as the development of new drugs, genetically modified crops, and forensic science.
This primer provides an overview of the complex processes underpinning cancer development and progression along with a summary of cancer treatment strategies, emphasising the development of targeted molecular therapies and the opportunities they provide. It takes a contemporary and integrated approach, encompassing debates on genetics, epigenetics, and cancer addictions, and highlighting the remaining challenges and future research directions to advance the field.
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The biological sciences cover a broad array of literature types, from younger fields like molecular biology with its reliance on recent journal articles, genomic databases, and protocol manuals to classic fields such as taxonomy with its scattered literature found in monographs and journals from the past three centuries. Using the Biological Litera
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practi...