SBcoyote: An extensible Python-based reaction editor and viewer.

Computational modeling Software Systems biology Visualization

Journal

Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 16 02 2023
revised: 15 05 2023
accepted: 12 08 2023
medline: 19 8 2023
pubmed: 19 8 2023
entrez: 18 8 2023
Statut: ppublish

Résumé

SBcoyote is an open-source cross-platform biochemical reaction viewer and editor released under the liberal MIT license. It is written in Python and uses wxPython to implement the GUI and the drawing canvas. It supports the visualization and editing of compartments, species, and reactions. It includes many options to stylize each of these components. For instance, species can be in different colors and shapes. Other core features include the ability to create alias nodes, alignment of groups of nodes, network zooming, as well as an interactive bird-eye view of the network to allow easy navigation on large networks. A unique feature of the tool is the extensive Python plugin API, where third-party developers can include new functionality. To assist third-party plugin developers, we provide a variety of sample plugins, including, random network generation, a simple auto layout tool, export to Antimony, export SBML, import SBML, etc. Of particular interest are the export and import SBML plugins since these support the SBML level 3 layout and render standard, which is exchangeable with other software packages. Plugins are stored in a GitHub repository, and an included plugin manager can retrieve and install new plugins from the repository on demand. Plugins have version metadata associated with them to make it install plugin updates. Availability: https://github.com/sys-bio/SBcoyote.

Identifiants

pubmed: 37595778
pii: S0303-2647(23)00176-4
doi: 10.1016/j.biosystems.2023.105001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105001

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Jin Xu (J)

Department of Bioengineering, University of Washington, Seattle 98195, WA, USA.

Gary Geng (G)

Department of Computer Science, University of Washington, Seattle 98195, WA, USA.

Nhan D Nguyen (ND)

Department of Chemistry and Biochemistry, Augustana University, Sioux Falls, 57197, SD, USA.

Carmen Perena-Cortes (C)

Department of Mathematics, University of Washington, Seattle 98195, WA, USA.

Claire Samuels (C)

Department of Mathematics, University of Washington, Seattle 98195, WA, USA.

Herbert M Sauro (HM)

Department of Bioengineering, University of Washington, Seattle 98195, WA, USA. Electronic address: hsauro@uw.edu.

Classifications MeSH