cyTRON和cyTRON/JS：两个基于Cytoscape的癌症演变模型推断应用程序
cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models
摘要：
癌症样本测序数据的日益可用性正在推动算法策略的发展，以研究肿瘤异质性并推断癌症演变的可靠模型。我们在这里建立了以前的工作癌症进展推断从基因组改变数据，提供两个不同的基于Cytoscape的应用程序，允许产生，可视化和操纵癌症演变模型，也通过与公共基因组和蛋白质组学数据库交互。特别是，我们在这里介绍cyTRON，一个独立的Cytoscape应用程序，和cyTRON/JS，一个使用Cytoscape/JS功能的Web应用程序。cyTRON是用Java开发的;代码可在https://github.com/BIMIB-DISCo/cyTRON和Cytoscape App Store http://apps.cytoscape.org/apps/cytron上获得。cyTRON/JS是用JavaScript和R开发的;该工具的源代码可在https://github.com/BIMIB-DISCo/cyTRON-js上获得，该工具可从https://bimib.disco.unimib.it/cytronjs/welcome上获得。
英文摘要：
The increasing availability of sequencing data of cancer samples is fueling the development of algorithmic strategies to investigate tumor heterogeneity and infer reliable models of cancer evolution. We here build up on previous works on cancer progression inference from genomic alteration data, to deliver two distinct Cytoscape-based applications, which allow to produce, visualize and manipulate cancer evolution models, also by interacting with public genomic and proteomics databases. In particular, we here introduce cyTRON, a stand-alone Cytoscape app, and cyTRON/JS, a web application which employs the functionalities of Cytoscape/JS. cyTRON was developed in Java; the code is available at https://github.com/BIMIB-DISCo/cyTRON and on the Cytoscape App Store http://apps.cytoscape.org/apps/cytron. cyTRON/JS was developed in JavaScript and R; the source code of the tool is available at https://github.com/BIMIB-DISCo/cyTRON-js and the tool is accessible from https://bimib.disco.unimib.it/cytronjs/welcome.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
