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Article

Reference data based insights expand understanding of human metabolomes

2020-07-11

Abstract excerpt

<h4>Summary</h4> The human metabolome has remained largely unknown, with most studies annotating ∼10% of features. In nucleic acid sequencing, annotating transcripts by source has proven essential for understanding gene function. Here we generalize this concept to stool, plasma, urine and other human metabolomes, discovering that food-based annotations increase the interpreted fraction of molecular features 7-fol...

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Identifiers and source

Literature Corpus work
c07c9b8b-fa1d-594e-9330-0506f804b24a
DOI
10.1101/2020.07.08.194159
Open publication

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Reference data based insights expand understanding of human metabolomesDOI 10.1101/2020.07.08.194159
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