Back to Search Start Over

DNAplotlib:programmable visualization of genetic designs and associated data

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

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