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
