PANDA: A comprehensive and flexible tool for quantitative proteomics data analysis

被引：20
|
作者：
Chang, Cheng [1 ]
Li, Mansheng [1 ]
Guo, Chaoping [2 ]
Ding, Yuqing [2 ]
Xu, Kaikun [1 ]
Han, Mingfei [1 ]
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
来源：
BIOINFORMATICS | 2019年 / 35卷 / 05期
基金：
中国国家自然科学基金;
关键词：
PEPTIDE IDENTIFICATIONS; FRAMEWORK; ACCURACY; RANGE; MS/MS;
D O I：
10.1093/bioinformatics/bty727
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
As the experiment techniques and strategies in quantitative proteomics are improving rapidly, the corresponding algorithms and tools for protein quantification with high accuracy and precision are continuously required to be proposed. Here, we present a comprehensive and flexible tool named PANDA for proteomics data quantification. PANDA, which supports both label-free and labeled quantifications, is compatible with existing peptide identification tools and pipelines with considerable flexibility. Compared with MaxQuant on several complex datasets, PANDA was proved to be more accurate and precise with less computation time. Additionally, PANDA is an easy-to-use desktop application tool with user-friendly interfaces. Availability and implementation PANDA is freely available for download at https://sourceforge.net/projects/panda-tools/. Supplementary information Supplementary data are available at Bioinformatics online
引用
收藏
页码：898 / 900
页数：3
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