Python Programming for Biology: Bioinformatics and Beyond

Tim J. Stevens

ISBN 10: 0521720095 / ISBN 13: 9780521720090

Published by Cambridge University Press, 2015

About this Item

This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike. Num Pages: 711 pages, 91 b/w illus. 11 colour illus. 3 tables. BIC Classification: PSA; UMW. Category: (P) Professional & Vocational. Dimension: 246 x 177 x 32. Weight in Grams: 1418. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780521720090

Bibliographic Details

• Title: Python Programming for Biology: Bioinformatics and Beyond
• Publisher: Cambridge University Press
• Publication Date: 2015
• Language: English
• ISBN 10: 0521720095
• ISBN 13: 9780521720090
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.

About the Authors

Tim Stevens is Senior Investigator Scientist at the MRC Laboratory of Molecular Biology in Cambridge. He researches single-cell 3D genome architecture and provides computational biology oversight, development and training within the Cell Biology Division.

Wayne Boucher, a mathematician and theoretical physicist by training, is a senior postdoctoral associate and computing technician for the Department of Biochemistry at the University of Cambridge. He teaches undergraduate mathematics and postgraduate programming courses, and is currently developing software for the analysis of biological molecules by nuclear magnetic resonance spectroscopy.