ArticleNucleic acids research2026
Metalog: curated and harmonised contextual data for global metagenomics samples.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Meta2DB: curated shotgun metagenomic feature sets and metadata for health state prediction.Bioinformatics (Oxford, England) · 2026Article
- microntology: a lightweight, data-driven controlled vocabulary to describe earth's microbial habitats.Bioinformatics (Oxford, England) · 2026Article
- CCMRI: a classification and curated database of climate change-related microbiome studies.Scientific reports · 2026Article
- Microbial diversity as a foundation for biological AI : Learning biology from evolution's largest dataset.EMBO reports · 2026Article
- metaTraits: a large-scale integration of microbial phenotypic trait information.Nucleic acids research · 2026Article
- VIRE: a metagenome-derived, planetary-scale virome resource with environmental context.Nucleic acids research · 2026Article
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
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Authors and funding
28 authors.
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Abstract
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/.
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Registered trials
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