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Calculations for molecular biology and biotechnology : a guide to mathematics in the laboratory / Frank Harold Stephenson
Amsterdam ; Boston : Elsevier/AP, Academic Press is an imprint of Elsevier, 2010
519 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 660.6
Calculations for Molecular Biology and Biotechnology: A Guide to Mathematics in the Laboratory, Second Edition, provides an introduction to the myriad of laboratory calculations used in molecular biology and biotechnology. The book begins by discussing the use of scientific notation and metric prefixes, which require the use of exponents and an understanding of significant digits. It explains the mathematics involved in making solutions; the characteristics of cell growth; the multiplicity of infection; and the quantification of nucleic acids. It includes chapters that deal with the mathematics involved in the use of radioisotopes in nucleic acid research; the synthesis of oligonucleotides; the polymerase chain reaction (PCR) method; and the development of recombinant DNA technology. Protein quantification and the assessment of protein activity are also discussed, along with the centrifugation method and applications of PCR in forensics and paternity testing.
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Calculations for molecular biology and biotechnology : a guide to mathematics in the laboratory / Frank Harold Stephenson
Amsterdam ; Boston : Elsevier/AP, Academic Press is an imprint of Elsevier, 2016
478 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 660.6
Calculations in Molecular Biology and Biotechnology, Third Edition, helps researchers utilizing molecular biology and biotechnology techniques―from student to professional―understand which type of calculation to use and why. Research in biotechnology and molecular biology requires a vast amount of calculations. Results of one data set become the basis of the next. An error of choosing the wrong type of equation can turn what would have been a successful research project or weeks of labor and research into a veritable house of cards. It could be how you calculated the medium in which you test your sample to calculating how long it takes a sample to grow to calculating the synthesis of multiple variables.
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Modeling Life : The Mathematics of Biological Systems / Alan Garfinkel, Jane Shevtsov and Yina Guo
Switzerland : Springer, 2017
456 p. ; cm.
Ký hiệu phân loại (DDC): 570.15118
From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. This book develops the mathematical tools essential for students in the life sciences to describe these interacting systems and to understand and predict their behavior. Complex feedback relations and counter-intuitive responses are common in dynamical systems in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler's method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science
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