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authorBonface2024-02-09 09:41:28 -0600
committerMunyoki Kilyungi2024-08-09 13:30:43 +0300
commitd029d5d7f8ead1f1de8d318045004a4a6f68f5fb (patch)
tree33c7ff40e3f953d030ed08f468f7afb1dfcba9e6 /general/datasets/EPFL_LISP_LivPMetHFD1213/summary.rtf
parent769ff7825f5d8d36d541e90534c07f1985899973 (diff)
downloadgn-docs-d029d5d7f8ead1f1de8d318045004a4a6f68f5fb.tar.gz
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+<p>We identified 979 unique metabolite features based on mass-charge ratios (m/z) using flow-injection ToF-MS, respectively. Of these features, 699 could be attributed to a single metabolite, including in cases where of the two &ldquo;possible&rdquo; enantiomers, one is clearly far more predominant than the other (e.g. L versus D amino acids). The remaining 280 metabolites were &ldquo;clusters&rdquo; with no clear predominant feature&mdash;for example, the &ldquo;glucose&rdquo; metabolite measurements could not be separated from fructose, galactose, or mannose measurements, as all share the same m/z. The &ldquo;main&rdquo; metabolite, as well as all possible alternatives are listed with the data on&nbsp;<a href="http://genenetwork.org/" target="_blank">GeneNetwork.org</a>&nbsp;for the raw file download (press the &ldquo;INFO&rdquo; button next to the dataset on the main search page and download the dataset and supplemental data files).</p>