Bioinformatics Programming Using Python

by Mitchell Model

Overview

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming.

Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics — researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks.

• Become familiar with Python's fundamentals, including ways to develop simple applications
• Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access
• Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics
• Learn how to apply the principles and techniques of object-oriented programming
• Benefit from the "tips and traps" section in each chapter

Product Details

ISBN-13:	9780596154509
Publisher:	O'Reilly Media, Incorporated
Publication date:	01/10/2010
Series:	Animal Guide
Pages:	492
Product dimensions:	7.00(w) x 9.10(h) x 1.10(d)

About the Author

Mitchell L. Model has worked in a wide range of platforms, languages, technologies and domains. For much of his career he has been an independent consultant, providing training, mentoring, tools, and support to software development groups learning to use new technologies and practices. During the past 15 years his work has focused on bioinformatics.

Table of Contents

• Preface
• Chapter 1: Primitives
• Chapter 2: Names, Functions, and Modules
• Chapter 3: Collections
• Chapter 4: Control Statements
• Chapter 5: Classes
• Chapter 6: Utilities
• Chapter 7: Pattern Matching
• Chapter 8: Structured Text
• Chapter 9: Web Programming
• Chapter 10: Relational Databases
• Chapter 11: Structured Graphics
• Python Language Summary
• Collection Type Summary
• Colophon