SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations
- University of California, San Francisco, United States
- Gladstone Institutes, United States
Additional files
-
All additional files
Any figure supplements, source code, source data, videos or supplementary files associated with this article are contained within this zip.
- https://cdn.elifesciences.org/articles/82401/elife-82401-supp-v2.zip
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations
eLife 12:e82401.
https://doi.org/10.7554/eLife.82401
