Author

T. S. B. Schmidt

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

Biology Disciplines

Click to filter author papers

Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

P. Bork· 2 shared A. Fullam· 1 shared A. Houseman· 1 shared A. Rodriguez del Rio· 1 shared A. Telzerow· 1 shared A. Typas· 1 shared A. Vines· 1 shared C. D. Santos-Junior· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

P. Bork

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Computational exploration of the global microbiome for antibiotic discovery

C. D. Santos-Junior, M. D. T. Torres, Y. Duan, A. Rodriguez del Rio, T. S. B. Schmidt, H. Chong, A. Fullam, K. Michael, C. Zhu, A. Houseman, J. Somborski, A. Vines, X.-M. Zhao, P. Bork, J. Huerta-Cepas, , L. P. Coelho

The paper uses machine learning to predict antimicrobial peptides from microbiome data, identifies novel peptides, and validates their antibacterial activity against drug-resistant pathogens.

bioRxiv · Aug 31, 2023Microbiology

Consistency across multi-omics layers in a drug-perturbed gut microbial community

S. Wuyts, R. Alves, M. Zimmermann-Kogadeeva, S. Nishijima, S. Blasche, M. Driessen, P. E. Geyer, R. Hercog, E. Kartal, L. Maier, J. B. Müller, S. Garcia Santamarina, T. S. B. Schmidt, D. C. Sevin, A. Telzerow, , P. Bork

The paper examines consistency and complementarity across five omics layers in a drug-perturbed gut microbial community, finding high agreement in species abundance and functional insights from different data types.

bioRxiv · Jan 3, 2023Microbiology