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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Nucleic acids research
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41171125/ |
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Table of Contents:
- Metalog: curated and harmonised contextual data for global metagenomics samples. Kuhn, Michael Schmidt, Thomas Sebastian B Ferretti, Pamela Głazek, Anna Robbani, Shahriyar Mahdi Akanni, Wasiu Fullam, Anthony Schudoma, Christian Cetin, Ela Hassan, Mariam Noack, Kasimir Schwarz, Anna Thielemann, Roman Thomas, Leonie von Stetten, Moritz Alves, Renato Iyappan, Anandhi Kartal, Ece Kel, Ivan Keller, Marisa I Maistrenko, Oleksandr Mankowski, Anna Nishijima, Suguru Podlesny, Daniel Schiller, Jonas Schulz, Sarah Van Rossum, Thea Bork, Peer Metagenomics Animals Humans Databases, Genetic Metadata Metagenome Data Curation Gastrointestinal Microbiome Metagenomic sequencing enables the in-depth study of microbes and their functions in humans, animals, and the environment. While sequencing data is deposited in public databases, the associated contextual data is often not complete and needs to be retrieved from primary publications. This lack of access to sample-level metadata like clinical data or in situ observations impedes cross-study comparisons and meta-analyses. We therefore created the Metalog database, a repository of manually curated metadata for metagenomics samples across the globe. It contains 80 423 samples from humans (including 66 527 of the gut microbiome), 10 744 animal samples, 5547 ocean water samples, and 23 455 samples from other environmental habitats such as soil, sediment, or fresh water. Samples have been consistently annotated for a set of habitat-specific core features, such as demographics, disease status, and medication for humans; host species and captivity status for animals; and filter sizes and salinity for marine samples. Additionally, all original metadata is provided in tabular form, simplifying focused studies e.g. into nutrient concentrations. Pre-computed taxonomic profiles facilitate rapid data exploration, while links to the SPIRE database enable genome-based analyses. The database is freely available for browsing and download at https://metalog.embl.de/.