Author

C. C. Laczny

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4

Signature Assays, Organisms & Methods

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Assay:metagenomics· 4 Organism:human· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

P. May· 4 shared P. Wilmes· 4 shared L. de Nies· 3 shared R. Halder· 3 shared A. Heintz-Buschart· 2 shared B. J. Kunath· 2 shared C. Martin-Gallausiaux· 2 shared S. B. Busi· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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4 shared papersMicrobiology

P. May

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Author profile →

4 papers

Recent·Most cited

Altered infective competence of the human gut microbiome in COVID-19

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

Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by multi-omic analysis

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

Synergistic effect of short- and long-read sequencing on functional meta-omics

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

PathoFact: A pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data

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