PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data

被引：17

作者：

Chang, Cheng ^{[1
]}

Xu, Kaikun ^{[1
]}

Guo, Chaoping ^{[2
]}

Wang, Jinxia ^{[1
,3
]}

Yan, Qi ^{[2
]}

Zhang, Jian ^{[2
]}

He, Fuchu ^{[1
]}

Zhu, Yunping ^{[1
]}

机构：

[1] Natl Ctr Prot Sci Beijing, Beijing Inst Life, Beijing Proteome Res Ctr, State Key Lab Prote, Beijing 102206, Peoples R China

[2] Chinese Acad Sci, Inst Software, Beijing Key Lab Human Comp Interact, Beijing 100190, Peoples R China

[3] Shandong Drug & Food Vocat Coll, Drug Res & Dev Ctr, Weihai 264210, Peoples R China

来源：

BIOINFORMATICS | 2018年 / 34卷 / 20期

基金：

中国国家自然科学基金;

关键词：

FALSE DISCOVERY RATE;

D O I：

10.1093/bioinformatics/bty408

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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 proteinpeptide-spectrum representation of the quantitative proteomics data.

引用

页码：3594 / 3596

页数：3

共 13 条

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