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Basic Mathematics for Biochemists
 
 
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Basic Mathematics for Biochemists [Paperback]

Athel Cornish-Bowden
3.5 out of 5 stars  See all reviews (2 customer reviews)
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Product details

  • Paperback: 336 pages
  • Publisher: OUP Oxford; 2 edition (21 Oct 1999)
  • Language English
  • ISBN-10: 0198502168
  • ISBN-13: 978-0198502166
  • Product Dimensions: 23.2 x 16 x 1.3 cm
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 733,405 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

Athel Cornish-Bowden
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Product Description

Product Description

Mathematics is essential to the study and understanding of biochemistry yet most undergraduates do not have a grasp of maths. This book sets out all the mathematics needed for an undergraduate course in biochemistry, assuming a minimum of prior knowledge. Emphasis is placed on topics necessary for biochemists and all the examples are relevant to biochemistry. Each chapter contains illustrative boxes and worked examples and also a problem section (the answers are given in the back of the book). The book starts by covering the basic concepts of mathematics such as manipulating fractions, functions, and plotting graphs and then explains exponents and logarithms in depth. The next two chapters cover all the ordinary differentiation and integration required by the biochemist. Partial differentiation is explained in a later chapter. Chapter 6 is about solving equations (linear, simultaneous, quadratic, and higher-order) and the final chapter covers the basic ideas of statistics. Basic Mathematics for Biochemists will therefore be invaluable to all biochemistry undergraduates and will also be useful to more experienced biochemists needing to refresh their maths.

About the Author

Athel Cornish-Bowden is at C.N.R.S.-L.C.B., Marseille.

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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
4 of 4 people found the following review helpful
By A Customer
Format:Paperback
I would recommend this book to anyone who is taking a degree in Biochemistry and has no experience in mathematics. This book puts the required maths simply for the reader that applys directly to the subject instead of pure mathematics. The questions that test the readers knowledge throughout the text unables the reader to test what they have learnt.
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3 of 3 people found the following review helpful
friendly maths 21 April 2004
Format:Paperback
For those who didn't take (or have forgotten) A-level Maths, this is avery gentle and reasonably thorough guide to biologically usefulmathematics. It starts with "2+2" and ends at partial differentialequations. This is likely to be particularly useful for those interestedin biochemistry and respiration but doesn't deal with areas of maths suchas matrix algebra that might be useful for geneticists
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Amazon.com:  2 reviews
1 of 1 people found the following review helpful
Great for first year students 2 Jan 2008
By Herbert Sauro - Published on Amazon.com
Format:Paperback
Biochemists don't traditionally have a strong background (or any in some cases) in math. I think Cornish-Bowden's book fills a niche for first and second year biochemists and I highly recommend it. For seniors the book is probably too low level, though seniors will find it a useful reference nonetheless.
Basic indeed. Too basic. 26 Jun 2005
By bmaverick - Published on Amazon.com
Format:Paperback
I have a deep respect for Athel Cornish-Bowden and his textbook wirting skills. His enzyme kinetics texts are the best on the market. This book is also clearly, lucidly written. The problem is, the depth of coverage is simply inadequate for contemporary biochemists. True, some working biochemists don't know even what is in this book, but future biochemists should be equipped with stronger math skills than presented here. Dr. Cornish-Bowden, if you are reading this, please do the future biochemists a favor and write a bigger, more detailed book on the subject. Do not forget more linear algebra and more statistics (preferably using R).
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