Book description
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.
Table of contents
- Cover
- Title
- Copyright
- Dedication
- Preface
- Brief Contents
- Contents
- Chapter 1 Introduction
- Chapter 2 NumPy and SciPy
- Chapter 3 Image Manipulation
- Chapter 4 The Akando and Dancer Modules
- Chapter 5 Statistics
- Chapter 6 Parsing DNA Data Files
- Chapter 7 Sequence Alignment
- Chapter 8 Dynamic Programming
- Chapter 9 Tandem Repeats
- Chapter 10 Hidden Markov Models
- Chapter 11 Genetic Algorithms
- Chapter 12 Multiple Sequence Alignment
- Chapter 13 Gapped Alignments
- Chapter 14 Trees
- Chapter 15 Text Mining
- Chapter 16 Measuring Complexity
- Chapter 17 Clustering
- Chapter 18 Self-Organizing Maps
- Chapter 19 Principal Component Analysis
- Chapter 20 Species Identification
- Chapter 21 Fourier Transforms
- Chapter 22 Correlations
- Chapter 23 Numerical Sequence Alignment
- Chapter 24 Gene Expression Array Files
- Chapter 25 Spot Finding and Measurement
- Chapter 26 Spreadsheet Arrays and Data Displays
- Chapter 27 Applications with Expression Arrays
- Index
Product information
- Title: Python for Bioinformatics
- Author(s):
- Release date: June 2008
- Publisher(s): Jones & Bartlett Learning
- ISBN: 9781449613075
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