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Provides a solid introduction to programming with Python, making the book accessible for readers without previous programming experience
Covers advanced topics, such as web applications with Bottle, databases (MySQL, SQLite and MongoDB), XML and Bokeh
Contains ready-to-use code applicable to real-world biological problems
All code included in this book available in a companion Github repository and can be run online in PythonAnywhere and in a cloud-based Jupyter Notebook.
In today´s data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language.
This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.
Table of Contents
Introduction. First Steps with Python. Basic Programming: Data Types. Programming: Flow Control. Code Modularizing. Handling Files. Error Handling. Introduction to Object Oriented Programming. Introduction to Biopython. Web Applications. XML. Introduction to Databases. Collaborative Development. Regular Expressions. Unicode. Graphics. Sequence Manipulation in Batch. Web Application for Filtering Vector Communication. Primer Design Flanking a Variable Length Region. Calculating Melting Temperature from a Set of Primers. Converting XML Blast File into HTML. Infering Splicing Sites. DNA Mutations with Restrictions. Web Server for Multiple Alignment. Drawing Marker Positions Using Data Stored in a Database. Appendix.