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DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data

delete2016-10-27
delete45
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OA
AI
B
Bryan S. Der
E
Emerson Glassey
B
Bryan Bartley
C
Casper Enghuus
D
Daniel B. Goodman
D
D. Benjamin Gordon
C
Christopher A. Voigt
T
Thomas E. Gorochowski *
DOI:10.1021/acssynbio.6b00252delete
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Abstract

Abstract

En 中文
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:
visualization
standardization
SBOLv
biodesign automation
synthetic biology
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Journal

ACS Synthetic Biology cover
ACS Synthetic Biology
IF:
3.9
Papers:
3.9K
Citations:
1.2W

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U
University of Washington
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Citations: 12.5W