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Benchmarking AI-based plasmid annotation tools for antibiotic resistance genes mining from metagenome of the Virilla River, Costa Rica

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dc.contributor.authorRojas-Villalta, Dorian
dc.contributor.authorCalderón-Osorno, Melany
dc.contributor.authorBarrantes, Kenia
dc.contributor.authorArias-Andres, Maria
dc.contributor.authorRojas-Jiménez, Keilor
dc.date.accessioned2026-03-04T16:38:54Z
dc.date.available2026-03-04T16:38:54Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.1101/2023.08.24.554652
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11510
dc.language.isoen
dc.publisherBioRxiv
dc.relationhttps://doi.org/10.1101/2023.08.24.554652
dc.rightsacceso abierto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceBioRxiv
dc.subjectBENCHMARKING
dc.subjectINTELIGENCIA ARTIFICIAL
dc.subjectCIENCIA Y TECNOLOGÍA
dc.titleBenchmarking AI-based plasmid annotation tools for antibiotic resistance genes mining from metagenome of the Virilla River, Costa Rica
dc.typeartículo de investigación

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