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DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data.
Der, Bryan S; Glassey, Emerson; Bartley, Bryan A; Enghuus, Casper; Goodman, Daniel B; Gordon, D Benjamin; Voigt, Christopher A; Gorochowski, Thomas E.
Afiliación
  • Der BS; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  • Glassey E; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  • Bartley BA; Department of Bioengineering, University of Washington , Seattle, Washington 98195, United States.
  • Enghuus C; MIT Microbiology Program, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  • Goodman DB; Department of Genetics, Harvard Medical School , Boston, Massachusetts 02115, United States.
  • Gordon DB; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School , Boston, Massachusetts 02115, United States.
  • Voigt CA; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
  • Gorochowski TE; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
ACS Synth Biol ; 6(7): 1115-1119, 2017 07 21.
Article en En | MEDLINE | ID: mdl-27744689
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Biología Sintética Tipo de estudio: Risk_factors_studies Idioma: En Revista: ACS Synth Biol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Biología Sintética Tipo de estudio: Risk_factors_studies Idioma: En Revista: ACS Synth Biol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos