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AAgAtlas
A database using text-mining and manual curation. AAgAtlas contains 45 830 autoantigen-related abstracts and 94 313 sentences extracted from PubMed using the keywords of either ‘autoantigen’ or ‘autoantibody’ or their lexical variants, which were further refined to 25 520 abstracts, 43 253 sentences and 3984 candidates by the bio-entity recognizer based on the Protein Ontology. 1126 genes as human autoantigens and 1071 related human diseases are identified, with which a human autoantigen database was constructed.
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