Academic book request
In order to decide if a book might be suitable for your course we know that you need to look at it in detail.
If you are an academic teaching a course of 12 or more students you can choose up to three complimentary inspection copies of textbooks that are applicable to the courses that you teach.
To request your inspection copies, please complete the form below.
Python for BioinformaticsAuthor: Jason Kinser
Part of the JONES AND BARTLETT SERIES IN BIOMEDICAL INFORMATICS
Bioinformatics is a growing field that attracts researchers from many different backgrounds, including some who are unfamiliar with 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 the upper-level undergraduate and graduate courses, as well as those hoping to expand their knowledge of programming for bioinformatics, Kinser’s text emphasizes the proper 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
2. NumPy and SciPy
3. Image Manipulation
4. Akando and Dancer Modules
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
15. Text Mining
18. Self-Organizing Maps
20. Species Identification
21. Fourier Transforms and 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