ScyNet:可视化群落代谢模型中的相互作用

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2024-07-17 eCollection Date: 2024-01-01 DOI:10.1093/bioadv/vbae104
Michael Predl, Kilian Gandolf, Michael Hofer, Thomas Rattei
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引用次数: 0

摘要

动机基因组尺度的群落代谢模型可用于从机理上深入了解群落成员之间的相互作用。然而,现有的代谢模型可视化工具只能满足单个生物体模型的需求:ScyNet是一款用于可视化群落代谢模型的Cytoscape应用程序,通过关注群落成员之间的相互作用,生成复杂度更低的网络。ScyNet可以通过通量或通量范围纳入代谢模型的状态,这在之前发表的简化囊性纤维化气道群落模型中有所体现:ScyNet在MIT许可下免费提供,可通过Cytoscape应用商店(apps.cytoscape.org/apps/scynet)获取。源代码可在 Github (github.com/univieCUBE/ScyNet) 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ScyNet: Visualizing interactions in community metabolic models.

Motivation: Genome-scale community metabolic models are used to gain mechanistic insights into interactions between community members. However, existing tools for visualizing metabolic models only cater to the needs of single organism models.

Results: ScyNet is a Cytoscape app for visualizing community metabolic models, generating networks with reduced complexity by focusing on interactions between community members. ScyNet can incorporate the state of a metabolic model via fluxes or flux ranges, which is shown in a previously published simplified cystic fibrosis airway community model.

Availability and implementation: ScyNet is freely available under an MIT licence and can be retrieved via the Cytoscape App Store (apps.cytoscape.org/apps/scynet). The source code is available at Github (github.com/univieCUBE/ScyNet).

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