Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance

MLA

James M. Schupp, et al. “Integration of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond to Disturbance.” Nature Communications, vol. 11, Oct. 2020. EBSCOhost, https://doi.org/10.1038/s41467-020-19006-2.

APA

James M. Schupp, Emilie E. L. Muller, Christian Jäger, Paul Keim, Laura Lebrun, Haixu Tang, Malte Herold, Paul Wilmes, Hugo Roume, Sujun Li, Michael R. Hoopmann, John D. Gillece, Patrick May, Abdul Sheik, Benoit J. Kunath, Luise A. K. Kleine-Borgmann, Irina Bessarab, Cedric Christian Laczny, Susana Martinez Arbas, … Shaman Narayanasamy. (2020). Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance. Nature Communications, 11. https://doi.org/10.1038/s41467-020-19006-2

Chicago

James M. Schupp, Emilie E. L. Muller, Christian Jäger, Paul Keim, Laura Lebrun, Haixu Tang, Malte Herold, et al. 2020. “Integration of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond to Disturbance.” Nature Communications 11 (October). doi:10.1038/s41467-020-19006-2.