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dc.date.accessioned2023-12-18T21:11:48Z
dc.date.available2023-12-18T21:11:48Z
dc.date.issued2023-12-18
dc.identifier.urihttps://hdl.handle.net/1721.1/153197
dc.description.abstractA Laboratory team is using machine learning to trace the origin of DNA modifications. While previous studies focused on using plasmids—extra-chromosomal pieces of DNA—this team focused on trying to pinpoint exact computational tools used for editing the genome. The results of their work show that it may be possible to trace the origin of modifications back to a specific program, which may help identify the culprit in any attack involving genetic modification.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesThe Bulletin;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectMachine Learningen_US
dc.titleUsing Machine Learning to Trace Genetically Engineered DNAen_US
dc.typeArticleen_US


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