ggClusterNet:用于微生物组网络分析和基于模块化的多个网络布局的R包
Tao Wen1,2, Penghao Xie1, Shengdie Yang1
1Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Laboratory of Green Intelligent Fertilizer Innovation, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China.
iMeta
|June 13, 2024
概括
研究人员开发了ggClusterNet,这是一个用于生态网络分析的R包. 该工具通过集成的功能和多个布局算法简化了微生物组网络可视化和挖掘.
科学领域:
- 生态生态学 生态生态学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 网络分析在生态研究中越来越重要.
- 现有的生态网络分析工具可能很繁.
- 需要更加用户友好和强大的分析软件.
研究的目的:
- 引入ggClusterNet,这是一个用于生态网络分析的新型R包.
- 为研究人员提供一个易于使用的工具来构建,可视化和挖掘微生物网络.
- 为了提高生态研究中的网络分析的易用性和效率.
主要方法:
- 开发一个R包,ggClusterNet.
- 集成十个不同的网络布局算法,以增强可视化.
- 包括用于网络挖掘,财产计算和双边网络分析的各种功能.
- 实施管道功能,以简化网络分析.
主要成果:
- ggClusterNet提供十个专门的网络布局算法,用于微生物组网络可视化.
- 该包包括微生物网络分析的集成功能,如相关性,属性计算和模块识别.
- 管道功能有助于快速网络和双边网络分析.
- 该软件包在GitHub和Gitee上公开提供,附有全面的文档.
结论:
- ggClusterNet为生态网络分析提供了一个方便而强大的解决方案.
- 该套件简化了研究人员复杂的网络挖掘和可视化任务.
- 预计ggClusterNet将通过改善可访问性和功能,促进生态网络研究的进步.
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