Using Python to solve problems in bioinformatics

Getting started with Python

Scripting languages such as Perl and Python are commonly used in bioinformatics for tasks such as data management, file parsing, string processing, and interaction with databases. In addition, Python offers excellent numerical support through the Numerical Python package, providing a functionality similar to the commercial software packages Matlab and S.

The Biopython Project provides freely available Python tools for life science research, focusing on file parsing for bioinformatics, interaction with online resources, interfaces to commonly used bioinformatics progams, and sequence analysis tools. On this page, I will focus on numerical analysis using Python, particularly with respect to gene expression data analysis.

To get started with Python,

and you're done.

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