Bioinformatics Programming Using Python: Practical Programming for Biological Data

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"O'Reilly Media, Inc.", 2009 M12 8 - 524 páginas

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
 

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Contenido

Chapter 1 Primitives
1
Chapter 2 Names Functions and Modules
21
Chapter 3 Collections
47
Chapter 4 Control Statements
99
Chapter 5 Classes
165
Chapter 6 Utilities
209
Chapter 7 Pattern Matching
257
Chapter 8 Structured Text
287
Chapter 9 Web Programming
325
Chapter 10 Relational Databases
359
Chapter 11 Structured Graphics
399
Appendix A Python Language Summary
449
Appendix B Collection Type Summary
459
Index
473
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Bioinformatics Programming Using Python
Mitchell Model
Sin vista previa disponible - 2009

Términos y frases comunes

__init__ assignment statement attribute beginning bioinformatics browser bytes CGI scripts chapter characters class fields class method clause codon coll column command command-line contains contents create database default defined dictionary docstring documentation elements endpos enzyme error exception handling executed False FASTA file filename foreign key format function call function definition GenBank GenBankEntry implementation import information hiding input instance integer iteration keyword arguments kind loop match module namespace object open(filename operands operations optional output parameters parse parser path pattern primary key provides Python query readline regular expression result return statement return True sequence server set1 set2 shows specified sqlite3 startpos str1 string subclass superclass syntax Table target template there’s tkinter Tracebacks tuple Unicode von Willebrand factor we’ll whitespace window write

Información bibliográfica

TítuloBioinformatics Programming Using Python: Practical Programming for Biological Data
Animal Guide
AutorMitchell L Model
Editor"O'Reilly Media, Inc.", 2009
ISBN1449382908, 9781449382902
Largo524 páginas
  
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