Microbiome Datasets Are Compositional: And This Is Not Optional
Gregory B. Gloor, Jean M. Macklaim, Vera Pawlowsky-Glahn et al. · 2017
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Description
Gregory Gloor, Jean Macklaim, Vera Pawlowsky-Glahn, and coauthors wrote this methods paper in 2017. It deals with data from high-throughput sequencing of microbes in the gut and other places. Such data are now common in studies of disease and the environment.
The authors argue that sequencing counts are parts of a whole, not absolute amounts. Treating them as plain numbers can produce false results. They show how methods built for parts-of-a-whole data avoid those traps. Anyone who analyzes microbiome data needs this warning, because the choice of math shapes every claim that follows from the numbers.
Catalog record
| CREATOR | Gregory B. Gloor, Jean M. Macklaim, Vera Pawlowsky-Glahn et al. |
|---|---|
| YEAR | 2017 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |