Python for Bioinformatics

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Jones & Bartlett Publishers, Oct 25, 2010 - Computers - 417 pages
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Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.
 

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Contents

Chapter 1 Introduction
1
Chapter 2 NumPy and SciPy
13
Chapter 3 Image Manipulation
29
Chapter 4 The Akando and Dancer Modules
37
Chapter 5 Statistics
53
Chapter 6 Parsing DNA Data Files
71
Chapter 7 Sequence Alignment
89
Chapter 8 Dynamic Programming
101
Chapter 16 Measuring Complexity
241
Chapter 17 Clustering
255
Chapter 18 SelfOrganizing Maps
275
Chapter 19 Principal Component Analysis
289
Chapter 20 Species Identification
309
Chapter 21 Fourier Transforms
319
Chapter 22 Correlations
333
Chapter 23 Numerical Sequence Alignment
345

Chapter 9 Tandem Repeats
119
Chapter 10 Hidden Markov Models
125
Chapter 11 Genetic Algorithms
139
Chapter 12 Multiple Sequence Alignment
157
Chapter 13 Gapped Alignments
179
Chapter 14 Trees
197
Chapter 15 Text Mining
227
Chapter 24 Gene Expression Array Files
365
Chapter 25 Spot Finding and Measurement
375
Chapter 26 Spreadsheet Arrays and Data Displays
389
Chapter 27 Applications with Expression Arrays
401
Index
413
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