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Roland Bruderer et al.
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MSPLIT-DIA: sensitive peptide identification for data-independent acquisition
Jian Wang et al.
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DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics
Chih-Chiang Tsou et al.
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John D. Chapman et al.
MASS SPECTROMETRY REVIEWS (2014)
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Hannes L. Roest et al.
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Chia-Ying Cheng et al.
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Matthew C. Chambers et al.
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Viktor Granholm et al.
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mzML-a Community Standard for Mass Spectrometry Data
Lennart Martens et al.
MOLECULAR & CELLULAR PROTEOMICS (2011)
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
Brendan MacLean et al.
BIOINFORMATICS (2010)
Kolmogorov-Zurbenko filters
Wei Yang et al.
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Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments
Ole Schulz-Trieglaff et al.
BioData Mining (2009)
Linear discriminant analysis-based estimation of the false discovery rate for phosphopeptide identifications
Xiuxia Du et al.
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Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry
Joshua E. Elias et al.
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Barbara E. Frewen et al.
ANALYTICAL CHEMISTRY (2006)
Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra
JD Venable et al.
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