BioinformaticsBioinformaticsPeer-reviewed journal article
PANDA: A comprehensive and flexible tool for proteomics data quantitative analysis
Cheng ChangiD, Mansheng LiiD, Chaoping Guo, Yuqing DingiD, Kaikun XuiD, Mingfei HaniD, Fuchu HeiD, Yunping ZhuiD
Abstract
SummaryAs 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 two complex da-tasets, PANDA was proved to be more accurate and precise with less computation time. Additionally, PANDA is an easy-to-use desktop ap-plication tool with user-friendly interfaces.\n\nAvailabilityPANDA is freely available for download at https://sourceforge.net/projects/panda-tools/.\n\nContact1987ccpacer@163.com and zhuyunping@gmail.com
- assay: proteomics
- research focus: variant calling
- research focus: software / tool
- approach: statistical model
- Citations
- 32
- FWCI
- 1.08
- Field percentile
- top 29%
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