Publications

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
The influence of the crowding assumptions in biofilm simulations
Angeles-Martinez, L., Hatzimanikatis, V. (2021).
https://doi.org/10.1371/journal.pcbi.1009158
Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities
Angeles-Martinez, L., Hatzimanikatis, V. (2021).
https://doi.org/10.1371/journal.pcbi.1009140
mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA genes
Salazar, G., Ruscheweyh, H.-J., Hildebrand, F., Acinas, S. G., Sunagawa, S. (2021).
https://doi.org/10.1093/bioinformatics/btab465
The plant NADPH oxidase RBOHD is required for microbiota homeostasis in leaves
Pfeilmeier, S., Petti, G. C., Bortfeld-Miller, Daniel, B., Field, C. M., Sunagawa, S., Vorholt, J. A. (2021).
https://doi.org/10.1038/s41564-021-00929-5
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