期刊
BIOINFORMATICS
卷 28, 期 18, 页码 2404-2406出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts449
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资金
- National Institute of General Medical Sciences (Large Scale Collaborative Research Grant) [U54 GM-62119-02]
- NIH National Center for Research Resources [5P41RR018522-10]
- National Institute of General Medical Sciences from the National Institutes of Health [8 P41 GM103493-10]
- Laboratory Directed Research and Development program at Pacific Northwest National Laboratory
- National Institute of Allergy and Infectious Diseases (NIH/DHHS) [Y1-AI-4894-01]
Motivation: The size and complex nature of mass spectrometry-based proteomics datasets motivate development of specialized software for statistical data analysis and exploration. We present DanteR, a graphical R package that features extensive statistical and diagnostic functions for quantitative proteomics data analysis, including normalization, imputation, hypothesis testing, interactive visualization and peptide-to-protein rollup. More importantly, users can easily extend the existing functionality by including their own algorithms under the Add-On tab.
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