Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance
2024 · Nature Communications · 39 citations
https://doi.org/10.1038/s41467-024-51957-8
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Ágnes Becsei
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Ágnes Becsei is an academic researcher from Eötvös Loránd University. The author has contributed to research in topics: Antibiotic Resistance in Bacteria & Pharmaceutical and Antibiotic Environmental Impacts & Bacteriophages and microbial interactions. The author has an h-index of 5, co-authored 13 publications.
ORCID: 0000-0001-8567-9216Papers by this author
worksAuthor Correction: Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance
2024 · Nature Communications · 0 citations
https://doi.org/10.1038/s41467-024-53282-6
A case study using sewage metagenomic data for assessment of text-to-SQL capabilities in large language models
2025 · Scientific Reports · 0 citations
https://doi.org/10.1038/s41598-025-28341-7
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