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Der BS, Glassey E, Bartley BA, et al. DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data. ACS Synth Biol. 2016;6(7):1115-1119doi: 10.1021/acssynbio.6b00252.
Der, B. S., Glassey, E., Bartley, B. A., Enghuus, C., Goodman, D. B., Gordon, D. B., Voigt, C. A., & Gorochowski, T. E. (2017). DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data. ACS synthetic biology, 6(7), 1115-1119. https://doi.org/10.1021/acssynbio.6b00252
Der, Bryan S, et al. "DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data." ACS synthetic biology vol. 6,7 (2017): 1115-1119. doi: https://doi.org/10.1021/acssynbio.6b00252
Der BS, Glassey E, Bartley BA, Enghuus C, Goodman DB, Gordon DB, Voigt CA, Gorochowski TE. DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data. ACS Synth Biol. 2017 Jul 21;6(7):1115-1119. doi: 10.1021/acssynbio.6b00252. Epub 2016 Oct 27. PMID: 27744689.
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ACS Synth Biol. 2017 Jul 21;6(7):1115-1119. doi: 10.1021/acssynbio.6b00252. Epub 2016 Oct 27.

DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data.

ACS synthetic biology

Bryan S Der, Emerson Glassey, Bryan A Bartley, Casper Enghuus, Daniel B Goodman, D Benjamin Gordon, Christopher A Voigt, Thomas E Gorochowski

Affiliations

  1. Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  2. Department of Bioengineering, University of Washington , Seattle, Washington 98195, United States.
  3. MIT Microbiology Program, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  4. Department of Genetics, Harvard Medical School , Boston, Massachusetts 02115, United States.
  5. Wyss Institute for Biologically Inspired Engineering, Harvard Medical School , Boston, Massachusetts 02115, United States.

PMID: 27744689 DOI: 10.1021/acssynbio.6b00252

Abstract

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 cross-platform software developed using Python.

Keywords: SBOLv; biodesign automation; standardization; synthetic biology; visualization

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