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CyTargetLinker应用程序更新:一种用于Cytoscape中网络扩展的灵活解决方案。

CyTargetLinker app update: A flexible solution for network extension in Cytoscape.

作者信息

Kutmon Martina, Ehrhart Friederike, Willighagen Egon L, Evelo Chris T, Coort Susan L

机构信息

Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, 6229 ER, The Netherlands.

Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, 6229 ER, The Netherlands.

出版信息

F1000Res. 2018 Jun 14;7. doi: 10.12688/f1000research.14613.2. eCollection 2018.

DOI:10.12688/f1000research.14613.2
PMID:31489175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6707396/
Abstract

Here, we present an update of the open-source CyTargetLinker app for Cytoscape ( http://apps.cytoscape.org/apps/cytargetlinker) that introduces new automation features. CyTargetLinker provides a simple interface to extend networks with links to relevant data and/or knowledge extracted from so-called linksets. The linksets are provided on the CyTargetLinker website ( https://cytargetlinker.github.io/) or can be custom-made for specific use cases. The new automation feature enables users to programmatically execute the app's functionality in Cytoscape (command line tool) and with external tools (e.g. R, Jupyter, Python, etc). This allows users to share their analysis workflows and therefore increase repeatability and reproducibility. Three use cases demonstrate automated workflows, combinations with other Cytoscape apps and core Cytoscape functionality. We first extend a protein-protein interaction network created with the stringApp, with compound-target interactions and disease-gene annotations. In the second use case, we created a workflow to load differentially expressed genes from an experimental dataset and extend it with gene-pathway associations. Lastly, we chose an example outside the biological domain and used CyTargetLinker to create an author-article-journal network for the five authors of this manuscript using a two-step extension mechanism. With 400 downloads per month in the last year and nearly 20,000 downloads in total, CyTargetLinker shows the adoption and relevance of the app in the field of network biology. In August 2019, the original publication was cited in 83 articles demonstrating the applicability in biomedical research.

摘要

在此,我们展示了用于Cytoscape的开源CyTargetLinker应用程序(http://apps.cytoscape.org/apps/cytargetlinker)的更新版本,该版本引入了新的自动化功能。CyTargetLinker提供了一个简单的界面,可通过从所谓的链接集中提取的相关数据和/或知识的链接来扩展网络。链接集可在CyTargetLinker网站(https://cytargetlinker.github.io/)上获取,也可针对特定用例进行定制。新的自动化功能使用户能够以编程方式在Cytoscape(命令行工具)以及外部工具(例如R、Jupyter、Python等)中执行该应用程序的功能。这允许用户共享他们的分析工作流程,从而提高可重复性和再现性。三个用例展示了自动化工作流程、与其他Cytoscape应用程序的组合以及Cytoscape的核心功能。我们首先用化合物-靶点相互作用和疾病-基因注释扩展了用stringApp创建的蛋白质-蛋白质相互作用网络。在第二个用例中,我们创建了一个工作流程,从实验数据集中加载差异表达基因,并通过基因-通路关联对其进行扩展。最后,我们选择了一个生物领域之外的示例,并使用CyTargetLinker通过两步扩展机制为本文的五位作者创建了作者-文章-期刊网络。去年每月有400次下载,总共近20000次下载,CyTargetLinker显示了该应用程序在网络生物学领域的应用情况和相关性。2019年8月,该原始出版物在83篇文章中被引用,证明了其在生物医学研究中的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/df5d9e8d814f/f1000research-7-22256-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/d24532934d8b/f1000research-7-22256-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/cbd4118f3f06/f1000research-7-22256-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/df5d9e8d814f/f1000research-7-22256-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/d24532934d8b/f1000research-7-22256-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/cbd4118f3f06/f1000research-7-22256-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/6707485/df5d9e8d814f/f1000research-7-22256-g0002.jpg

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