Blood metabolome predicts gut microbiome α-diversity in humans
Tomasz Wilmanski(Institute for Systems Biology), Nathan D. Price(Buck Institute for Research on Aging), Andrew T. Magis(Institute for Systems Biology), Noa Rappaport(Buck Institute for Research on Aging), Sean M. Gibbons(University of Washington), John C. Earls(Institute for Systems Biology), Leroy Hood(California Institute of Technology), Gilbert S. Omenn(University of Michigan), Jennifer C. Lovejoy(Institute for Systems Biology), Ohad Manor
Cited by 339
Related Papers
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
|Nature Biotechnology|2019|24.2k
A communal catalogue reveals Earth’s multiscale microbial diversity
|Nature|2017|2.9k
A community-driven global reconstruction of human metabolism
|Nature Biotechnology|2013|1.1k
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses
|Nature Communications|2017|1k