Publications

Metabolic reconstitution of germ-free mice by a gnotobiotic microbiota varies over the circadian cycle
Hoces, D., Lan, J., Sun, W., Geiser, T., Stäubli, M., Barazzone, E., Arnoldini, M., Challa, T.D., Klug, M., Kellenberger, A., Nowok, S., Faccin, E., Macpherson, A.J., Stecher, B., Sunagawa, S., Zenobi, R., Hardt, W.-D., Wolfrum, C., Slack, E. (2022).
https://doi.org/10.1371/journal.pbio.3001743
Computational tools and resources for designing new pathways to small molecules
Sveshnikova, A., Mohammadi Peyhani, H., Hatzimanikatis, V. (2022).
https://doi.org/10.1016/j.copbio.2022.102722
ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds
Sveshnikova, A., Mohammadi Peyhani, H., Hatzimanikatis, V. (2022).
https://doi.org/10.1016/j.ymben.2022.03.013
Reproducible Propagation of Species-Rich Soil Bacterial Communities Suggests Robust Underlying Deterministic Principles of Community Formation
Causevic, S., Tackmann, J., Sentchilo, V., von Mering, C., van der Meer, J. R. (2022).
https://doi.org/10.1128/msystems.00160-22
Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx
Mohammadi Peyhani, H., Hafner, J., Svshenikova, A., Viterbo, V., Hatzimanikatis, V. (2022).
https://doi.org/10.1038/s41467-022-29238-z
The ecological roles of bacterial chemotaxis
Keegstra, J. M., Carrara, F., Stocker, R. (2022).
https://doi.org/10.1038/s41579-022-00709-w
Recent advances in microbial community analysis from machine learning of multiparametric flow cytometry data
Özel Duygan, B. D., van der Meer, J. R. (2022).
https://doi.org/10.1016/j.copbio.2022.102688
Sinking enhances the degradation of organic particles by marine bacteria
Alcolombri, U., Peaudecerf, F. J., Fernandez, V. I., Behrendt, L., Lee, K. S., Stocker, R. (2021).
https://doi.org/10.1038/s41561-021-00817-x
mOTUs: Profiling Taxonomic Composition, Transcriptional Activity and Strain Populations of Microbial Communities
Ruscheweyh, H.-J., Milanese, A., Paoli, L., Sintsova, A., Mende, D. R., Zeller, G., Sunagawa, S. (2021).
https://doi.org/10.1002/cpz1.218
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