10/10/2010

Bioinformatics Programming Using Python - pdf

Bioinformatics Programming Using PythonBook Description
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

Dr. Mitchell L Model is a computer scientist with a background in philosophy. He specializes in object technology, knowledge representation, user interfaces, distributed computing, and software development and is an inveterate software tool builder. Model held academic appointments at Brown and Brandeis Universities and worked at a number of early-phase startup companies. James Tisdall has worked as a musician, a programmer at Bell Labs (where he programmed for speech research and discovered a formal language for musical rhythm), and as a bioinformaticist at Mercator Genetics in Menlo Park, California, and at Fox Chase Cancer Center in Philadelphia. He has a B.A. in mathematics from the City College of New York and an M.S. in computer science from Columbia University; he is working towards a Ph.D. in computer science at the University of Pennsylvania.

Book Details

  • Paperback: 512 pages
  • Publisher: O’Reilly Media; 1 edition (December 23, 2009)
  • Language: English
  • ISBN-10: 059615450X
  • ISBN-13: 978-0596154509
  • File Size: 2.7 MiB
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