How to Cite
Please cite Corpusome in your publications if it contributed to your research.
Preprint (bioRxiv)
APA Citation — Preprint
Xuan, H., Huang, Y., & Bian, J. (2026). Corpusome, a cross-body-site human microbiome corpus for representation learning. bioRxiv. https://doi.org/10.64898/2026.08.28.747922
APA Citation — Dataset
Xuan, H., Huang, Y., & Bian, J. (2026). Corpusome, a cross-body-site human microbiome corpus for representation learning [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22150633
BibTeX — Preprint
@article{xuan2026corpusome,
author = {Xuan, Hao and Huang, Yu and Bian, Jiang},
title = {{Corpusome}, a cross-body-site human microbiome corpus
for representation learning},
journal = {bioRxiv},
year = {2026},
publisher = {Cold Spring Harbor Laboratory},
doi = {10.64898/2026.08.28.747922},
url = {https://www.biorxiv.org/content/early/2026/09/11/2026.08.28.747922},
elocation-id = {2026.08.28.747922}
}
BibTeX — Dataset
@dataset{xuan2026corpusome_data,
author = {Xuan, Hao and Huang, Yu and Bian, Jiang},
title = {{Corpusome}, a cross-body-site human microbiome corpus
for representation learning},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.22150633},
url = {https://doi.org/10.5281/zenodo.22150633},
note = {187,546 samples · 6 body sites · 16S + shotgun modalities}
}
Also Cite Upstream Data Sources
Corpusome integrates data from three primary sources. Please also cite these when using data that originates from them.
| Source | Citation |
|---|---|
| cMD | Pasolli, E., et al. (2017). Accessible, curated metagenomic data through ExperimentHub. Nature Methods, 14, 1023–1024. 10.1038/nmeth.4468 |
| AGP | McDonald, D., et al. (2018). American Gut: an open platform for citizen science microbiome research. mSystems, 3(3), e00031-18. 10.1128/mSystems.00031-18 |
| MGnify | Mitchell, A. L., et al. (2020). MGnify: the microbiome sequence data analysis resource in 2020. Nucleic Acids Research, 48(D1), D570–D578. 10.1093/nar/gkz1035 |
License
Corpusome v1.1 is released under
CC BY 4.0
(Creative Commons Attribution 4.0 International).
You are free to share and adapt the material for any purpose, provided you give
appropriate credit. Data derived from original studies may carry additional
data-use restrictions — consult the upstream sources' terms.