Author

W.-T. Liu

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· 2

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

B. G. Paul· 1 shared E. A. Eloe-Fadrosh· 1 shared G. Attwood· 1 shared H. Ren· 1 shared L. Chistoserdova· 1 shared L. Ye· 1 shared M. A. Allen· 1 shared M. A. O'Malley· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

B. G. Paul

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2 papers

Recent·Most cited

Ecology and molecular targets of hypermutation in the global microbiome.

S. Roux, B. G. Paul, S. C. Bagby, M. A. Allen, G. Attwood, R. Cavicchioli, L. Chistoserdova, S. Hallam, M. E. Hernandez, M. Hess, W.-T. Liu, M. A. O'Malley, X. Peng, V. I. Rich, S. Saleska, E. A. Eloe-Fadrosh

The paper analyzes metagenome-derived DGRs to show their evolutionary origin, mutation bias, ecological niches, and role in microbial community dynamics.

Nature Communications · May 24, 2021Peer-reviewedMicrobiology

Machine learning aided analyses of thousands of draft genomes reveal plant- and environment-specific features of activated sludge process

L. Ye, R. Mei, W.-T. Liu, H. Ren, X. Zhang

The paper analyzes 2045 MAGs from activated sludge to identify plant- and environment-specific features using machine learning, achieving 96.6% accuracy in distinguishing AS MAGs from others.

bioRxiv · Jul 22, 2019Microbiology