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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data.

Bryan S Der1, Emerson Glassey1, Bryan A Bartley2

  • 1Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.

ACS Synthetic Biology
|October 18, 2016
PubMed
Summary
This summary is machine-generated.

DNAplotlib is a Python-based computational toolkit for visualizing genetic designs. It enables customizable, standards-compliant visualizations and data integration for improved communication of genetic engineering information.

Keywords:
SBOLvbiodesign automationstandardizationsynthetic biologyvisualization

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Area of Science:

  • Synthetic Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Standardized genetic design is crucial for synthetic biology.
  • Effective visualization tools are needed to represent complex genetic constructs.
  • Integrating experimental data with design visualizations enhances understanding.

Purpose of the Study:

  • To introduce DNAplotlib, a computational toolkit for visualizing genetic designs.
  • To provide functions for creating customizable, standards-compliant genetic visualizations.
  • To enable the integration of experimental data with genetic design representations.

Main Methods:

  • Developed as a cross-platform software using Python.
  • Provides functions for programmable visualization of genetic parts, devices, and systems.
  • Supports output in vector-based PDFs, rasterized images, and animated movies.
  • Allows user customization and extension for new genetic elements and regulatory mechanisms.

Main Results:

  • DNAplotlib generates high-quality, customizable visualizations of genetic designs.
  • The toolkit facilitates the extraction and overlay of associated experimental data.
  • It supports static, interactive, and dynamic visualizations of genetic information.
  • Enables exploration of structure-function relationships in genetic circuits and metabolic pathways.

Conclusions:

  • DNAplotlib enhances communication of genetic design information.
  • Offers novel avenues for visualizing genetic parts, devices, and systems.
  • Facilitates a deeper understanding of the links between genetic structure and function.