DNAplotlib: programmable visualization of genetic designs and associated data

Bryan Der, Emerson Glassey, Bryan Bartley, Casper Enghuus, Daniel Goodman, Benjamin Gordon, Christopher Voigt, Thomas Gorochowski

Research output: Contribution to journalLetter (Academic Journal)peer-review

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DNAplotlib (www.dnaplotlib.org) is a computational toolkit for the programmable visualization of highly customizable, standards-compliant genetic designs. Functions are provided to aid with both visualization tasks and to extract and overlay associated experimental data. High-quality output is produced in the form of vector-based PDFs, rasterized images, and animated movies. All aspects of the rendering process can be easily customized or extended by the user to cover new forms of genetic part or regulation. DNAplotlib supports improved communication of genetic design information and offers new avenues for static, interactive and dynamic visualizations that map and explore the links between the structure and function of genetic parts, devices and systems; including metabolic pathways and genetic circuits. DNAplotlib is crossplatform software developed using Python and released under the MIT license.
Original languageEnglish
Pages (from-to)1115-1119
Number of pages5
JournalACS Synthetic Biology
Issue number7
Early online date17 Oct 2016
Publication statusPublished - 21 Jul 2017

Structured keywords

  • Bristol BioDesign Institute


  • visualization
  • standardization
  • SBOLv
  • bio-design automation
  • synthetic biology

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