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Anal. Chem. 2006, 78, XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification Colin A. Smith, Elizabeth J. Want, Grace O’Maille, Ruben Abag
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Document Date: 2013-12-10 15:01:43


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Pacific Grove / La Jolla / Cleveland / Milford / Vienna / San Diego / /

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LC/MS / Norton / MCC Press / Ge / Trauger S. A. / Agilent 1100 LC / Plant Research International B.V. / Intel / NMR LC / /

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Austria / /

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M&A / /

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The Scripps Research Institute / /

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peak-matching algorithm / gas chromatography / nonlinear alignment algorithm / chemical fingerprint / peak detection algorithms / signal processing / alignment algorithms / insignificant groups / peak detection algorithm / integrated tools / signal processing technique / retention time alignment algorithm / individual chemical components / data processing / analytical technology / peak-matching algorithms / open software architecture / cited retention time alignment algorithms / supplementary processing steps / alignment algorithm / chemicals / software distribution / /

Organization

National Institute of Health / Foundation for Statistical Computing / American Chemical Society / Scripps Center for Mass Spectrometry / Department of Molecular Biology / Scripps Research Institute / /

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Carey / V / Alan Saghatelian / Gary Siuzdak / Ruben Abagyan / Colin A. Smith / Benjamin Cravatt / Elizabeth J. Want / Andreev / V / Trethewey / /

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R. N. / V. P. / Representative / /

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South Dakota / California / /

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Analytical Chemistry / Molecular Biology / /

Technology

Proteomics / Bioinformatics / s/n / 3.0-GHz Xeon processor / Biotechnology / peak detection algorithm / published algorithms / previously cited retention time alignment algorithms / alignment algorithms / peak-matching algorithms / human genome / peak detection algorithms / nonlinear alignment algorithm / alignment algorithm / http / gas chromatography / peak-matching algorithm / 28 2 2564 316 1853 741 algorithm / retention time alignment algorithm / Metabolite Profiling / MEND peak detection algorithm / /

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