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List 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.
About the author
Sebastián Bassi is a Biotechnologist with experience both in software development and bioinformatics research. He worked more than four years for an agribusiness company doing molecular marker database curation. He also helped the EU-SOL project with the bioinformatics support of the international effort to sequence the tomato genome. Both positions involved Python development and intensive data manipulation. While working on this project also collaborated with the development of a web application to query a micro RNA database, which was published at BMC Plant Biology (doi:10.1186/1471-2229-10-240). He also worked on the first Linux distribution for bioinformatics (DNALinux). The last five years we had been working at Globant where he was involved in several projects for leading companies. During this time he was exposed to a myriad of technologies such as Django, Selenium, MongoDB, PostgreSQL, Amazon Web Services (he is an AWS Certified Solutions Architect), PHP and Ruby (among others). He is frequently invited to Python conferences such as Pycon and SciPy.
Summary
Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. The book focuses on the easy-to-use, yet powerful, Python 3 computer language and explores NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.
