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Database : the journal of biological databases and curation · 2026

A comprehensive database for biological data derived from sewage in five European cities.

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Becsei Ágnes, Munk Patrick, Fuschi Alessandro, Otani Saria, Stéger József, Visontai Dávid, Papp Krisztián, Brinch Christian, Kant Ravi, Weinstein Ilya, Vapalahti Olli, de Graaf Miranda, Schapendonk Claudia M E, Roelfsema Jeroen, van den Beld Maaike, Pijnacker Roan, Franz Eelco, Alba Patricia, Battisti Antonio, De Cesare Alessandra, Indio Valentina, Troja Fulvia, Sironen Tarja, Oliveri Chiara, Pasquali Frédérique, Liachko Ivan, Auch Benjamin, O'Cathail Colman, Bányai Krisztián, Makó Magdolna, Pollner Péter, Koopmans Marion, Csabai Istvan, Remondini Daniel, Aarestrup Frank M

Аннотация

Sewage metagenomics is a powerful tool for proactive pathogen surveillance and understanding microbial community dynamics. To support such efforts, we present a highly curated and accessible longitudinal dataset of 239 sewage samples collected from five European cities. The dataset, processed through metagenomic sequencing, includes rich analytical outputs such as taxonomic profiles, identified antimicrobial resistance genes, assembled contigs with annotated origins, metagenome-assembled genomes with functional gene annotations, and metadata. Given the computational intensity and time required to reproduce such analyses, we share this dataset to promote reuse and advance research. In addition to the metagenomic data, qPCR was used to identify specific pathogens, and Hi-C sequencing was performed on a subset of the samples to strengthen genomic linkage analysis. Central to this resource is a publicly available PostgreSQL database, designed to facilitate efficient exploration and reuse of the data. This comprehensive database allows users to perform targeted queries, subset data, and streamline access to this extensive resource.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты