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  1. Biopython · Biopython

    Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications …

  2. Documentation - Biopython

    Cock PA, Antao T, Chang JT, Chapman BA, Cox CJ, Dalke A, Friedberg I, Hamelryck T, Kauff F, Wilczynski B and de Hoon MJL (2009) Biopython: freely available Python tools for computational …

  3. Introduction — Biopython 1.86 documentation

    The Biopython web site (http://www.biopython.org) provides an online resource for modules, scripts, and web links for developers of Python-based software for bioinformatics use and research.

  4. Quick Start – What can you do with Biopython?

    Disputably (of course!), the central object in bioinformatics is the sequence. Thus, we’ll start with a quick introduction to the Biopython mechanisms for dealing with sequences, the Seq object, which we’ll …

  5. Download · Biopython

    Oct 28, 2025 · Python 3 or PyPy (a version supported by the version of Biopython you wish to install), including the Python development header files like python.h (if compiling from source)

  6. Biopython Contributors · Biopython

    Biopython Contributors Note: People are listed here alphabetically by surname. This is only a partial listing, see also the contributor listing in the Biopython source code or the Contributor page on …

  7. Publications using Biopython. · Biopython

    Cock PJ, Antao T, Chang JT, Chapman BA, Cox CJ, Dalke A, Friedberg I, Hamelryck T, Kauff F, Wilczynski B and de Hoon MJ (2009) Biopython: freely available Python tools for computational …

  8. The Biopython Project is an international association of developers of freely available Python (http://www.python.org) tools for computational molecular biology.

  9. The Biopython web site (http://www.biopython.org) provides an online resource for modules, scripts, and web links for developers of Python-based software for bioinformatics use and research.

  10. Basically, we just like to program in python and want to make it as easy as possible to use python for bioinformatics by creating high-quality, reusable modules and scripts.