Data-Handling in Biomedical Science

by Peter White

Overview

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.

Product Details

ISBN-13:	9780511846830
Publisher:	Cambridge University Press
Publication date:	05/06/2010
Series:	Musical Performance and Reception Series
Sold by:	Barnes & Noble
Format:	eBook
File size:	2 MB

About the Author

Peter White taught practical classes and tutorials in microbiology for over 30 years during his time as a Lecturer and Senior Lecturer at Sheffield University. His research interests include microbial drug-resistance, biochemistry of bacterial walls and metabolism of members of the genus Bacillus. He is a member of the Society for General Microbiology and a past member of the Biochemical Society and the American Society for Microbiology.

Table of Contents

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.

Editorial Reviews

'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

From the Publisher