Metalog: curated and harmonised contextual data for global metagenomics samples
Authors:
- Michael KuhnMKMichael Kuhn
- Thomas Sebastian B. SchmidtTSThomas Sebastian B. Schmidt
- Pamela FerrettiPFPamela Ferretti
- Anna GłazekAGAnna Głazek
- Mahdi RobbaniMRMahdi Robbani
- Wasiu AkanniWAWasiu Akanni
- Anthony FullamAFAnthony Fullam
- Christian SchudomaCSChristian Schudoma
- Ela CetinECEla Cetin
- Mariam HassanMHMariam Hassan
- Kasimir NoackKNKasimir Noack
- Anna SchwarzASAnna Schwarz
Preprint
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 73,082 samples from humans (including 58,506 of the gut microbiome), 10,703 animal samples, 5,146 ocean water samples, and 21,802 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/ .Keywords
All Related Versions
- Published version: Nucleic Acids Research, 54 (D1), D826.
Funding Information
- Novo Nordisk Fonden (NNF15OC0016692)
- Deutsche Forschungsgemeinschaft (460129525)
- Ministry of Science, Research and the Arts Baden-Württemberg (LIBIS/de.NBI)
- German Federal Ministry of Research, Technology and Space
This publication has 52 references indexed in Scilit:
- Integration of 168,000 samples reveals global patterns of the human gut microbiomeCell, 2025
- Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associationsCell, 2024
- Genome-resolved metagenomics: a game changer for microbiome medicineExperimental & Molecular Medicine, 2024
- Sequencing-based analysis of microbiomesNature Reviews Genetics, 2024
- Combinatorial, additive and dose-dependent drug–microbiome associationsNature, 2021
- The Gut Microbiota in Prediabetes and Diabetes: A Population-Based Cross-Sectional StudyCell Metabolism, 2020
- The Human Gut Microbiome: From Association to ModulationCell, 2018
- Accessible, curated metagenomic data through ExperimentHubNature Methods, 2017
- Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiotaNature, 2015
- Genomic variation landscape of the human gut microbiomeNature, 2012