Bioinformatics Programming Using Python

Mitchell L. Model

ISBN 10: 059615450X / ISBN 13: 9780596154509

Published by O'Reilly Media, Inc, USA, 2009

About this Item

2009. 1st. Paperback. Through many examples and exercises, this book helps simplify bioinformatics programming using Python. It is suitable for biologists who want to learn either basic scripting or substantial programming for various computational tasks, and for programmers who want to learn bioinformatics programming. Num Pages: 522 pages, black & white line drawings, black & white tables, figures. BIC Classification: PS; UMX. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 232 x 179 x 28. Weight in Grams: 716. . . . . .

Seller Inventory # V9780596154509

Bibliographic Details

• Title: Bioinformatics Programming Using Python
• Publisher: O'Reilly Media, Inc, USA
• Publication Date: 2009
• Language: English
• ISBN 10: 059615450X
• ISBN 13: 9780596154509
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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

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.