为了方便更多用户使用,我们邀请悟空云平台开发者诗盛定期(基本上每月一期)以视频讲解的方式给大家介绍悟空云平台的使用,本期给大家带来第四期的介绍内容---“主成分分析”,在本期中,主要给大家介绍如何用悟空云平台对蛋白质组和代谢组数据进行主成分分析,感兴趣的你可以观看下面的视频(往期视频可见后续链接):


往期回顾:


悟空云整体入门培训:

目前基于悟空平台开发的分析工具已发表以下文章:

NAguideR模块:
(2020) Shisheng Wang , Wenxue Li, Liqiang Hu, Jingqiu Cheng, Hao Yang, Yansheng Liu, NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses, Nucleic Acids Research, gkaa498. (IF: 11). 

motifeR模块:
(2019) Shisheng Wang , Yue Cai, Jingqiu Cheng, Wenxue Li, Yansheng Liu and Hao Yang. motifeR: An Integrated Web Software for Identification and Visualization of Protein Post‐Translational Modification Motifs. Proteomics: 201900245. (IF: 3). 

pseudoQC模块:
(2019) Shisheng Wang and Hao Yang. pseudoQC: A Regression‐Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets. Proteomics: 1900264. (IF: 3). 

MetaboGroupS模块:
(2018) Shisheng Wang , ..., and Meng Gong. MetaboGroupS: A Group Entropy-Based Web Platform for Evaluating Normalization Methods in Blood Metabolomics Data from Maintenance Hemodialysis Patients. Anal Chem 90, 11124-11130. (IF: 6). 

MixProTool模块:
(2018) Shisheng Wang , ..., and Hao Yang. MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data. Journal of computational biology : a journal of computational molecular cell biology 25, 1123-1127. (IF: 1). 
同时悟空平台整合上百个分析模块,包括且远不止以下功能

而围绕上游质谱数据解析和下游组学应用,易算近期也发表了多篇文章:
(2020)Yi Yang, ..., and Liang Qiao In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics. Nature Communications
https://doi.org/10.1038/s41467-019-13866-z (IF:13) 
(2020)Shuping Long, ..., Liang Qiao Metaproteomics characterizes human gut microbiome function in colorectal cancer. npj Biofilms and Microbiomes 
https://doi.org/10.1038/s41522-020-0123-4  (IF: 18)
(2020) Rutan Zhang, ..., Liang Qiao Proteomic and Metabolic Elucidation of Solar-Powered Biomanufacturing by Bio-Abiotic Hybrid System. 
https://doi.org/10.1016/j.chempr.2019.11.002 (IF:5)

如有您进一步咨询需求和合作意向。

欢迎和我们联系

www.omicsolution.com

若有任何疑问,欢迎邮件或来电咨询:

marketing@omicsolution.com

support@omicsolution.com

+86-18221381405