Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir
Permanent lenke
https://hdl.handle.net/10037/22806Dato
2021-01-26Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Fellows Yates, James A.; Andrades Valtueña, Aida; Vågene, Åshild J; Cribdon, Becky; Velsko, Irina M.; Borry, Maxime; Bravo-Lopez, Miriam J.; Fernandez-Guerra, Antonio; Green, Eleanor J.; Ramachandran, Shreya L.; Heintzman, Peter D.; Spyrou, Maria A.; Hübner, Alexander; Gancz, Abigail S.; Hider, Jessica; Allshouse, Aurora F.; Zaro, Valentina; Warinner, ChristinaSammendrag
Ancient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is particularly important for large-scale ecological and evolutionary studies of individual taxa and communities of both microbes and eukaryotes. AncientMetagenomeDir (archived at https://doi.org/10.5281/zenodo.3980833) is a collection of annotated metagenomic sample lists derived from published studies that provide basic, standardised metadata and accession numbers to allow rapid data retrieval from online repositories. These tables are community-curated and span multiple sub-disciplines to ensure adequate breadth and consensus in metadata definitions, as well as longevity of the database. Internal guidelines and automated checks facilitate compatibility with established sequence-read archives and term-ontologies, and ensure consistency and interoperability for future meta-analyses. This collection will also assist in standardising metadata reporting for future ancient metagenomic studies.
Forlag
Springer NatureSitering
Fellows Yates JA, Andrades Valtueña, Vågene ÅJ, Cribdon, Velsko IM, Borry, Bravo-Lopez, Fernandez-Guerra A, Green, Ramachandran, Heintzman PD, Spyrou, Hübner, Gancz, Hider, Allshouse, Zaro, Warinner C. Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir. Scientific Data. 2021;8Metadata
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