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DNAplotlib:programmable visualization of genetic designs and associated data
- Source :
- Der, B, Glassey, E, Bartley, B, Enghuus, C, Goodman, D, Gordon, B, Voigt, C & Gorochowski, T 2017, ' DNAplotlib : programmable visualization of genetic designs and associated data ', ACS Synthetic Biology, vol. 6, no. 7, pp. 1115-1119 . https://doi.org/10.1021/acssynbio.6b00252
- Publication Year :
- 2017
-
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 crossplatform software developed using Python and released under the MIT license.
- Subjects :
- 0301 basic medicine
Theoretical computer science
Standardization
Computer science
Biomedical Engineering
Overlay
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Rendering (computer graphics)
03 medical and health sciences
Synthetic biology
User-Computer Interface
Software
visualization
computer.programming_language
standardization
business.industry
Bristol BioDesign Institute
Experimental data
Computational Biology
General Medicine
Python (programming language)
Visualization
030104 developmental biology
Computer architecture
Synthetic Biology
synthetic biology
bio-design automation
business
computer
Metabolic Networks and Pathways
SBOLv
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Der, B, Glassey, E, Bartley, B, Enghuus, C, Goodman, D, Gordon, B, Voigt, C & Gorochowski, T 2017, ' DNAplotlib : programmable visualization of genetic designs and associated data ', ACS Synthetic Biology, vol. 6, no. 7, pp. 1115-1119 . https://doi.org/10.1021/acssynbio.6b00252
- Accession number :
- edsair.doi.dedup.....b077bf12b0cb5c091b6d75dc45bfb12a
- Full Text :
- https://doi.org/10.1021/acssynbio.6b00252