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Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
11 papers
Recent·Most cited
T. Arns, A. Fouquier dHerouel, P. May, A. Tkatchenko, A. Skupin
This paper introduces a Persistence Score to classify SARS-CoV-2 variants based on molecular dynamics, showing it groups variants into clinically relevant subgroups with higher sensitivity than traditional methods.
bioRxiv · Nov 28, 2023 · PreprintBioinformatics
P. V. Novikova, S. B. Busi, A. J. Probst, P. May, P. Wilmes
The paper predicts and characterizes protein functions in Methanobrevibacter smithii using sequence and structure data, identifying gut-specific proteins and potential horizontal gene transfer events.
bioRxiv · Feb 1, 2023Microbiology
L. de Nies, V. Galata, C. Martin-Gallausiaux, M. Despotovic, S. B. Busi, C. J. Snoeck, L. Delacour, D. P. Budagavi, C. C. Laczny, J. Habier, P.-C. Lupu, R. Halder, J. V. Fritz, T. Marques, E. Sandt, , P. Wilmes
This study identifies increased virulence factors and antimicrobial resistance genes in the gut microbiome of COVID-19 patients, suggesting heightened infective competence.
bioRxiv · Oct 20, 2022 · PreprintMicrobiology
F. Delogu, B. J. Kunath, P. Queiros, R. Halder, L. A. Lebrun, P. B. Pope, P. May, S. Widder, E. E. L. Muller, P. Wilmes
The paper forecasts microbial community dynamics in a wastewater treatment plant using longitudinal meta-omics data and temporal signals, achieving accurate predictions of gene abundance and expression.
bioRxiv · Oct 19, 2022 · PreprintMicrobiology
B. J. Kunath, O. Hickl, P. T. Queiros, C. Martin-Gallausiaux, L. Lebrun, R. Halder, C. C. Laczny, T. S. Schmidt, D. Becher, A. Heintz-Buschart, C. Debeaufort, P. Borg, P. May, P. Wilmes
This study identifies oral microbiota changes in T1DM linked to gut microbiome alterations through multi-omic analysis of saliva and stool samples.
bioRxiv · Feb 13, 2022 · PreprintMicrobiology
L. de Nies, S. B. Busi, B. J. Kunath, P. May, P. Wilmes
The paper analyzes meta-omic data from a wastewater treatment plant to show how different antimicrobial resistance genes are disseminated via plasmids or phages, with some categories showing exclusive or primary dissemination routes.
bioRxiv · Nov 15, 2021Microbiology
V. Galata, S. B. Busi, B. J. Kunath, L. de Nies, M. Calusinska, R. Halder, P. May, P. Wilmes, C. C. Laczny
The paper evaluates short-read, long-read, and hybrid metagenomic assembly methods on complex samples and proposes a reference-independent approach using multi-omic integration for microbiome analysis.
bioRxiv · Apr 22, 2021Microbiology
T. Van Den Bossche, B. J. Kunath, K. Schallert, S. S. Schäpe, P. E. Abraham, J. Armengaud, M. O. Arntzen, A. Bassignani, D. Benndorf, S. Fuchs, R. J. Giannone, T. J. Griffin, L. H. Hagen, R. Halder, C. Henry, , Marte
CAMPI evaluates metaproteomic workflows across labs, finding sample processing drives peptide variability while workflows yield similar functional profiles.
bioRxiv · Mar 5, 2021Microbiology
A. Golebiewska, A.-C. Hau, A. Oudin, D. Stieber, Y. A. Yabo, V. Baus, V. Barthelemy, E. Klein, S. Bougnaud, O. Keunen, M. Wantz, A. Michelucci, V. Neirinckx, A. Muller, T. Kaoma, , S. P. Niclou
This study shows that glioma PDOX models accurately represent patient tumors and can predict treatment responses in personalized medicine.
bioRxiv · Apr 24, 2020Cancer Biology
L. de Nies, S. Lopes, A. Heintz-Buschart, C. C. Laczny, P. May, P. Wilmes
PathoFact predicts virulence factors and antimicrobial resistance genes in metagenomic data with high accuracy and specificity, and identifies signature genes differentiating disease and control groups.
bioRxiv · Mar 24, 2020Microbiology
G. Silvestri, R. Trotta, L. Stramucci, J. J. Ellis, J. G. Harb, P. Neviani, S. Wang, A.-K. Eisfeld, C. Walker, B. Zhang, K. Srutova, C. Gambacorti-Passerini, G. Pineda, C. H. M. Jamieson, F. Stagno, , D. Perrotti
bioRxiv · Jun 23, 2019Cancer Biology