PANDA-view：一个用于定量蛋白质组学数据的统计分析和可视化的简单易用的工具。
PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data.
机构信息
State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, People's Republic of China.
Beijing Key Laboratory of Human Computer Interactions, Institute of Software, Chinese Academy of Sciences, Beijing, People's Republic of China.
出版信息
Bioinformatics. 2018 Oct 15;34(20):3594-3596. doi: 10.1093/bioinformatics/bty408.
SUMMARY
Compared with the numerous software tools developed for identification and quantification of -omics data, there remains a lack of suitable tools for both downstream analysis and data visualization. To help researchers better understand the biological meanings in their -omics data, we present an easy-to-use tool, named PANDA-view, for both statistical analysis and visualization of quantitative proteomics data and other -omics data. PANDA-view contains various kinds of analysis methods such as normalization, missing value imputation, statistical tests, clustering and principal component analysis, as well as the most commonly-used data visualization methods including an interactive volcano plot. Additionally, it provides user-friendly interfaces for protein-peptide-spectrum representation of the quantitative proteomics data.
AVAILABILITY AND IMPLEMENTATION
PANDA-view is freely available at https://sourceforge.net/projects/panda-view/.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
与为数众多的用于鉴定和定量分析组学数据的软件工具相比，我们仍然缺乏适用于下游分析和数据可视化的工具。为了帮助研究人员更好地理解其组学数据中的生物学意义，我们开发了一个易于使用的工具，名为 PANDA-view，用于定量蛋白质组学数据和其他组学数据的统计分析和可视化。PANDA-view 包含各种分析方法，如归一化、缺失值插补、统计检验、聚类和主成分分析，以及最常用的数据可视化方法，包括交互式火山图。此外，它还为定量蛋白质组学数据的蛋白质-肽-谱表示提供了用户友好的界面。
可用性和实现
PANDA-view 可在 https://sourceforge.net/projects/panda-view/ 免费获取。
补充信息
补充数据可在 Bioinformatics 在线获取。
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