Data-Handling in Biomedical Science

A guide to solving numerical problems in the biological sciences, with extensive worked examples and exercises of varying difficulty.

Peter White (Author)

9780521143868, Cambridge University Press

Paperback, published 6 May 2010

258 pages, 77 b/w illus.
22.8 x 15.2 x 1.2 cm, 0.43 kg

'This is an excellent and most welcome book. It combines a refresher course in mathematics (for those who need it) with a comprehensive range of data-handling problems and worked examples in biochemistry and microbiology - invaluable for both students and tutors.' John R. Guest FRS, University of Sheffield

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.

Acknowledgements
Introduction
Abbreviations and Système International
How important is maths in data-handling?
1. Numbers and indices
2. A sense of proportion
3. Graphs
4. Algebra
5. Logarithms
6. Simple statistics
7. Preparing solutions and media
8. Growth in batch cultures
9. Growth in continuous culture
10. Enzymes
11. Spectrophotometry
12. Energy metabolism
13. Radioactivity
14. Microbial genetics
15. Problems
16. Advice and hints
17. Answers
Conclusion
Index.

Subject Areas: Biology, life sciences [PS], Mathematical modelling [PBWH], Probability & statistics [PBT]