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. 2016 Feb 23;5:10. doi: 10.1186/s13742-016-0115-8

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© Davidson et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Overview of Galaxy-M metabolomics workflow for DIMS and LC-MS data. Processing of raw data is performed either using SIM-stitch for DIMS data or XCMS for LC-MS data [9, 23]. Metabolite annotation is performed using MI-Pack [10]. Logos denote programming environments for each stage of the data processing. Note that no univariate statistics tools are included in the current implementation