TY - JOUR
T1 - Metalog: curated and harmonised contextual data for global metagenomics samples
AU - Kuhn, Michael
AU - Schmidt, Thomas Sebastian B
AU - Ferretti, Pamela
AU - Głazek, Anna
AU - Robbani, Shahriyar Mahdi
AU - Akanni, Wasiu
AU - Fullam, Anthony
AU - Schudoma, Christian
AU - Cetin, Ela
AU - Hassan, Mariam
AU - Noack, Kasimir
AU - Schwarz, Anna
AU - Thielemann, Roman
AU - Thomas, Leonie
AU - von Stetten, Moritz
AU - Alves, Renato
AU - Iyappan, Anandhi
AU - Kartal, Ece
AU - Kel, Ivan
AU - Keller, Marisa I
AU - Maistrenko, Oleksandr
AU - Mankowski, Anna
AU - Nishijima, Suguru
AU - Podlesny, Daniel
AU - Schiller, Jonas
AU - Schulz, Sarah
AU - Van Rossum, Thea
AU - Bork, Peer
PY - 2026
Y1 - 2026
N2 - 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/.
AB - 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/.
U2 - 10.1093/nar/gkaf1118
DO - 10.1093/nar/gkaf1118
M3 - Journal article
C2 - 41171125
SN - 0305-1048
VL - 54
SP - D826-D834
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -