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Biopython: Python tools for computational biology

Open access
Chapman, Brad, Chang, Jeffrey·2000·ACM SIGBIO Newsletter

Abstract

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.

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Metadata

Authors
Chapman, B., & Chang, J.
Venue
ACM SIGBIO Newsletter
Published
2000-08
Volume
20
Issue
2
Pages
15-19
ISSN
0163-5697 (ISSN-L)
OpenAlex
W2063822856
Cited by
200
References
0
FWCI
1.14
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Biopython: Python tools for computational biology. https://app.cochat.ai/papers/10.1145/360262.360268
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Chapman, B., & Chang, J. (2000). Biopython: Python tools for computational biology. ACM SIGBIO Newsletter. https://doi.org/10.1145/360262.360268

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.