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GENETTA: a Network-Based Tool for the Analysis of Complex Genetic Designs

Lookup NU author(s): Matthew Crowther, Professor Anil Wipat, Dr Angel Goni-Moreno

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Abstract

© 2023 American Chemical Society. GENETTA is a software tool that transforms synthetic biology designs into networks using graph theory for analysis and manipulation. By representing complex data as interconnected points, GENETTA allows dynamic customization of visualizations, including interaction networks and parts hierarchies. It can also merge design data from multiple databases, providing a unified perspective. The generated interactive network can be edited by adding nodes and edges, simplifying changes to existing design files. This article presents GENETTA and its features through specific use cases, showcasing its practical applications.


Publication metadata

Author(s): Crowther M, Wipat A, Goni-Moreno A

Publication type: Article

Publication status: Published

Journal: ACS Synthetic Biology

Year: 2023

Volume: 12

Issue: 12

Pages: 3766-3770

Print publication date: 15/12/2023

Online publication date: 14/11/2023

Acceptance date: 30/10/2023

ISSN (electronic): 2161-5063

Publisher: American Chemical Society

URL: https://doi.org/10.1021/acssynbio.3c00333

DOI: 10.1021/acssynbio.3c00333

PubMed id: 37963232


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Funding

Funder referenceFunder name
2019-T1/BIO-14053
34000024085
CEX2020-000999-S
EPSRC
PID2020-117205GA-I00
Y2020/TCS-6555

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