Jones & Bartlett Learning Python for Bioinformatics (Jones and Bartlett Series in Biomedical Informatics)

Part of the JONES AND BARTLETT SERIES IN BIOMEDICAL INFORMATICS Bioinformatics is a growing field that attracts researchers from many different backgrounds who are unfamiliar with the algorithms commonly used in the field. Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises . Ideal for those with some knowledge of computer programming languages, this book emphasizes Python syntax and methodologies. The text is divided into three complete sections; the first provides an explanation of general Python programming, the second includes a detailed discussion of the Python tools typically used in bioinformatics including clustering, associative memories, and mathematical analysis techniques, and the third section demonstrates how these tools are implemented through numerous applications. Table of Contents 1. Introduction 2. NumPy and SciPy 3. Image Manipulation 4. Akando and Dancer Modules 5. Statistics 6. Parsing DNA Data Files 7. Sequence Alignment 8. Dynamic Programming 9. Tandem Repeats 10. Hidden Markov Models 11. Genetic Algorithms 12. Multiple Sequence Alignment 13. Gapped Alignments 14. Trees 15. Text Mining 16. Complexity 17. Clustering 18. Self-Organizing Maps 19. Principals 20. Species Identification 21. Fourier Transforms and Correlations 22. Correlations 23. Numerical Sequence Alignment 24. Gene Expression Array Files 25. Spot Finding and Measurement 26. Spreadsheet Arrays and Displaying the Data 27. Applications with Expression Arrays