{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Maaly Nassar"],"journal":["GigaScience"],"pagination":["giac077"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL2202170009"],"repository":["biostudies-other"],"additional_accession":["35950838"],"pubmed_authors":["Maaly Nassar"]},"is_claimable":false,"name":"Nassar2022 - Microbiome LS NER model","description":"Microbiome LS (Library Source/Strategy) model is a Named Entity Recognition (NER) model that identifies and annotates microbiome DNA library source or strategy in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with LS metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications","dates":{"release":"2022-02-17T00:00:00Z","modification":"2025-07-14T16:50:37.23Z","creation":"2025-04-03T10:45:25.375Z"},"accession":"MODEL2202170009","cross_references":{"pubmed":["35950838"]}}