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KUNATH Benoît

Main Referenced Co-authors
WILMES, Paul  (8)
MAY, Patrick  (7)
HALDER, Rashi  (4)
LACZNY, Cedric Christian  (4)
LEBRUN, Laura  (4)
Main Referenced Keywords
activated sludge (2); metagenomics (2); metatranscriptomics (2); Microbiome (2); multi-omics (2);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (3)
Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) (3)
Luxembourg Centre for Systems Biomedicine (LCSB) (1)
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Microbiology (8)
Environmental sciences & ecology (2)
Public health, health care sciences & services (1)
Biochemistry, biophysics & molecular biology (1)
Genetics & genetic processes (1)

Publications (total 8)

The most downloaded
103 downloads
Herold, M., Martinez Arbas, S., Narayanasamy, S., Sheik, A. R., Kleine-Borgmann, L. A. K., Lebrun, L., Kunath, B., Roume, H., Bessarab, I., Williams, R. B. H., Gillece, J. D., Schupp, J. M., Keim, P. S., Jäger, C., Hoopman, M. R., Moritz, R. L., Ye, Y., Li, S., Tang, H., ... Wilmes, P. (2020). Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance. Nature Communications. doi:10.1038/s41467-020-19006-2 https://hdl.handle.net/10993/45372

The most cited

40 citations (Scopus®)

Herold, M., Martinez Arbas, S., Narayanasamy, S., Sheik, A. R., Kleine-Borgmann, L. A. K., Lebrun, L., Kunath, B., Roume, H., Bessarab, I., Williams, R. B. H., Gillece, J. D., Schupp, J. M., Keim, P. S., Jäger, C., Hoopman, M. R., Moritz, R. L., Ye, Y., Li, S., Tang, H., ... Wilmes, P. (2020). Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance. Nature Communications. doi:10.1038/s41467-020-19006-2 https://hdl.handle.net/10993/45372

Kunath, B., Hickl, O., Teixeira Queiros, P., Martin-Gallausiaux, C., Lebrun, L., Halder, R., Laczny, C. C., Schmidt, T. S., Hayward, M., Becher, D., Heintz-Buschart, A., de Beaufort, C., Bork, P., May, P., & Wilmes, P. (2022). Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by integrated multi-omic analyses. Microbiome. doi:10.1186/s40168-022-01435-4
Peer Reviewed verified by ORBi

Delogu, F., Kunath, B., Queirós, P. M., Halder, R., Lebrun, L., Pope, P. B., May, P., Widder, S., Muller, E. E. L., & Wilmes, P. (2022). Forecasting of a complex microbial community using meta-omics. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52862. doi:10.1101/2022.10.19.512887

de Nies, L., Busi, S. B., Kunath, B., May, P., & Wilmes, P. (16 September 2022). Mobilome-driven segregation of the resistome in biological wastewater treatment. eLife, 11, 81196. doi:10.7554/eLife.81196
Peer Reviewed verified by ORBi

Van den Bossche, T., Arntzen, M., Becher, D., Benndorf, D., Eijsink, V., Henry, C., Jagtap, P., Jehmlich, N., Juste, C., Kunath, B., Mesuere, B., Muth, T., Pope, P., Seifert, J., Tanca, A., Uzzau, S., Wilmes, P., Hettich, R., & Armengaud, J. (December 2021). The Metaproteomics Initiative: a coordinated approach for propelling the functional characterization of microbiomes. Microbiome, 9 (1), 243. doi:10.1186/s40168-021-01176-w
Peer Reviewed verified by ORBi

Galata, V., Busi, S. B., Kunath, B., de Nies, L., Calusinska, M., Halder, R., May, P., Wilmes, P., & Laczny, C. C. (2021). Functional meta-omics provide critical insights into long- and short-read assemblies. Briefings in Bioinformatics. doi:10.1093/bib/bbab330
Peer Reviewed verified by ORBi

Van Den Bossche, T., Kunath, B., Schallert, K., Schäpe, S. S., Abraham, P. E., Armengaud, J., Arntzen, M. Ø., Bassignani, A., Benndorf, D., Fuchs, S., Giannone, R. J., Griffin, T. J., Hagen, L. H., Halder, R., Henry, C., Hettich, R. L., Heyer, R., Jagtap, P., Jehmlich, N., ... Muth, T. (2021). Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nature Communications, 12 (1), 7305. doi:10.1038/s41467-021-27542-8
Peer Reviewed verified by ORBi

Martinez Arbas, S.* , Narayanasamy, S.* , Herold, M., Lebrun, L., Hoopmann, M. R., Li, S., Lam, T. J., Kunath, B., Hicks, N. D., Liu, C. M., Price, L. B., Laczny, C. C., Gillece, J. D., Schupp, J. M., Keim, P. S., Moritz, R. L., Faust, K., Tang, H., Ye, Y., ... Wilmes, P. (2020). Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics. Nature Microbiology.
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Herold, M., Martinez Arbas, S., Narayanasamy, S., Sheik, A. R., Kleine-Borgmann, L. A. K., Lebrun, L., Kunath, B., Roume, H., Bessarab, I., Williams, R. B. H., Gillece, J. D., Schupp, J. M., Keim, P. S., Jäger, C., Hoopman, M. R., Moritz, R. L., Ye, Y., Li, S., Tang, H., ... Wilmes, P. (2020). Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance. Nature Communications. doi:10.1038/s41467-020-19006-2
Peer Reviewed verified by ORBi

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