Author

A. Fullam

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:metagenomics· 4 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:machine learning (classical)· 2 Organism:bacteria (other)· 1 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

P. Bork· 4 shared T. S. Schmidt· 3 shared C. Schudoma· 2 shared L. P. Coelho· 2 shared M. Kuhn· 2 shared O. M. Maistrenko· 2 shared P. Ferretti· 2 shared R. Hercog· 2 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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4 shared papersMicrobiology

P. Bork

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations

S. Nishijima, E. Stankevic, O. Aasmets, T. S. Schmidt, N. Nagata, M. I. Keller, P. Ferretti, H. Juel, A. Fullam, C. Schudoma, S. M. Robbani, J. K. Hansen, L. A. Holm, M. Israelsen, R. Schierwagen, , P. Bork

This study shows that fecal microbial load, not disease, is the main driver of gut microbiome changes and identifies it as a major confounder in microbiome studies.

bioRxiv · Mar 18, 2024Microbiology

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

C. difficile may be overdiagnosed in adults and is a prevalent commensal in infants

P. Ferretti, J. Wirbel, O. M. Maistrenko, T. Van Rossum, R. Alves, A. Fullam, W. Akanni, C. Schudoma, A. Schwarz, R. Thielemann, L. Thomas, S. Kandels, R. Hercog, A. Telzerow, I. Letunic, , P. Bork

This study finds that C. difficile is often overdiagnosed in adults and is a common commensal in infants, with distinct microbial associations across age groups.

bioRxiv · Feb 16, 2022 · PreprintMicrobiology

Drivers and Determinants of Strain Dynamics Following Faecal Microbiota Transplantation

T. S. Schmidt, S. S. Li, O. M. Maistrenko, W. Akkani, L. P. Coelho, S. Dolai, A. Fullam, A. Glazek, R. Hercog, H. Herrema, F. Jung, S. Kandels, A. Orakov, T. Van Rossum, V. Benes, , P. Bork

This study identifies recipient and donor microbiome factors that determine strain dynamics after FMT, independent of clinical outcomes.

bioRxiv · Sep 30, 2021Microbiology

Genomic landscape and chronological reconstruction of driver events in multiple myeloma

F. Maura, N. Bolli, N. Angelopoulos, K. J. Dawson, D. Leongamornlert, I. Martincorena, T. J. Mitchell, A. Fullam, S. Gonzalez, R. Szalat, B. Rodriguez-Martin, M. K. Samur, D. Glodzik, M. Roncador, M. Fulciniti, , P. J. Campbell

This study reconstructs the genomic evolution of multiple myeloma by analyzing 67 genomes from 30 patients and public datasets, identifying 7 subgroups defined by distinct driver mutations and chronological patterns of genomic events.

bioRxiv · Aug 12, 2018Cancer Biology