The Biopython project was formed in August 1999 as a collaboration to collect and produce open source bioinformatics tools written in Python, an object-oriented scripting language. It is modeled on the highly successful Bioperl project, but has the goal of making libraries available for people doing computations in Python. The philosophy of all the Bio* projects is that part of bioinformaticists' work involves software development. In order to prevent repeated efforts we believe that the field can be advanced more quickly if libraries that perform common programming functions are available. Thus, we hope to create a central source for high-quality bioinformatics tools that researchers can use.As an open source project, Biopython can be downloaded for free from the web site at http://www.biopython.org . Biopython libraries are currently under heavy development. This paper describes the current state of available Biopython tools, shows examples of their use in common bioinformatics problems, and describes plans for future development.
Abstract Summary: We have implemented k-means clustering, hierarchical clustering and self-organizing maps in a single multipurpose open-source library of C routines, callable f...
From the Publisher: Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scrip...
Abstract Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from stand...
Here we present Primer3Plus, a new web interface to the popular Primer3 primer design program as an enhanced alternative for the CGI- scripts that come with Primer3. Primer3 con...
Abstract Summary: PyRosetta is a stand-alone Python-based implementation of the Rosetta molecular modeling package that allows users to write custom structure prediction and des...
Social media, news, blog, policy document mentions