Metalog: curated and harmonised contextual data for global metagenomics samples

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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Publication Details

Journal
Nucleic Acids Research
Published
2025-10-31
DOI
https://doi.org/10.1093/nar/gkaf1118
Citations
4
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
6.87
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article

Metalog: curated and harmonised contextual data for global metagenomics samples

Suguru Nishijima, Anna M Glazek, Wasiu Akanni, Josef Schiller et al.
4 citations
Nucleic Acids Research
Microbial Community Ecology and Physiology
6.87
article

Metalog: curated and harmonised contextual data for global metagenomics samples

Suguru Nishijima, Anna M Glazek, Wasiu Akanni, Josef Schiller, Oleksandr M. Maistrenko, Anthony Fullam, Anna Schwarz, Moritz von Stetten, Anna Mankowski, Thea Van Rossum, Daniel Podlesny, Anandhi Iyappan, Christian Schudoma, Shahriyar Mahdi Robbani, Thomas Schmidt, Sarah Schulz, Peer Bork, Renato Alves, Ece Kartal, Roman Thielemann, Pamela Ferretti, Michael Kuhn, L. A. Thomas, Ivan Kel, E. T. Çetin, Mariam Hassan, M. Keller, K. Noack
article en
4 citations

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/.

Nucleic Acids ResearchVol. 54(D1)
University of Würzburg (DE), European Molecular Biology Laboratory (DE)
Openalex Percentile: Top 3%
Microbial Community Ecology and Physiology
6.87
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