Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
Departments of Biomedical Engineering, Computer Science and Biostatistics, Johns Hopkins University, Baltimore, MD, USA.
Bioinformatics. 2020 Feb 15;36(4):1303-1304. doi: 10.1093/bioinformatics/btz715.
Pavian is a web application for exploring classification results from metagenomics experiments. With Pavian, researchers can analyze, visualize and transform results from various classifiers-such as Kraken, Centrifuge and MethaPhlAn-using interactive data tables, heatmaps and Sankey flow diagrams. An interactive alignment coverage viewer can help in the validation of matches to a particular genome, which can be crucial when using metagenomics experiments for pathogen detection.
Pavian is implemented in the R language as a modular Shiny web app and is freely available under GPL-3 from http://github.com/fbreitwieser/pavian.
Pavian 是一个用于探索宏基因组实验分类结果的 Web 应用程序。使用 Pavian,研究人员可以使用交互式数据表、热图和 Sankey 流程图分析、可视化和转换来自各种分类器(如 Kraken、Centrifuge 和 MethaPhlAn)的结果。交互式比对覆盖视图可帮助验证与特定基因组的匹配,这在使用宏基因组实验进行病原体检测时至关重要。
Pavian 是用 R 语言作为模块化的 Shiny Web 应用程序实现的,并根据 GPL-3 协议在 http://github.com/fbreitwieser/pavian 上免费提供。