Wang Shisheng, Zheng Wen, Hu Liqiang, Gong Meng, Yang Hao
Lab of Proteomics and Metabolomics, West China-Washington Mitochondria and Metabolism Research Center , Key Lab of Transplant Engineering and Immunology, MOH, West China Hospital, SCU, Chengdu, China .
J Comput Biol. 2018 Oct;25(10):1123-1127. doi: 10.1089/cmb.2018.0050. Epub 2018 Jul 11.
Deciphering and visualizing proteomics data are a big challenge for high-throughput proteomics research. In this work, we develop a free interactive web software platform, MixProTool, for processing multigroup proteomics data sets. This tool provides integrated data analysis workflow, including quality control assessment, normalization, soft independent modeling of class analogy, statistics, gene ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. This software is also highly compatible with the identification and quantification results of various frequently used search engines, such as MaxQuant, Proteome Discoverer, or Mascot. Moreover, all analyzed results can be visualized as vector graphs and tables for further analysis. MixProTool can be conveniently operated by users, even those without bioinformatics training, and it is extremely useful for mining the most relevant features among different samples. MixProTool is deployed at the public shinyapps io server.
对高通量蛋白质组学研究而言，解析和可视化蛋白质组学数据是一项巨大挑战。在这项工作中，我们开发了一个免费的交互式网络软件平台MixProTool，用于处理多组蛋白质组学数据集。该工具提供了集成的数据分析工作流程，包括质量控制评估、归一化、类类比软独立建模、统计、基因本体富集以及京都基因与基因组百科全书通路富集分析。该软件还与各种常用搜索引擎（如MaxQuant、Proteome Discoverer或Mascot）的鉴定和定量结果高度兼容。此外，所有分析结果都可以可视化为矢量图和表格以供进一步分析。MixProTool可供用户方便地操作，即使是没有生物信息学培训背景的用户也能使用，它对于挖掘不同样本之间最相关的特征非常有用。MixProTool部署在公共的shinyapps io服务器上。
