SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method.
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| Title: | SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method. |
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| Authors: | de Bernardi Schneider A; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA., Su M; Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA., Hinrichs AS; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA., Wang J; Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA., Amin H; Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA., Bell J; California Department of Public Health (CDPH), VRDL/COVIDNet, Richmond, CA 94804, USA., Wadford DA; California Department of Public Health (CDPH), VRDL/COVIDNet, Richmond, CA 94804, USA., O'Toole Á; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK., Scher E; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK., Perry MD; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA., Turakhia Y; Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA 92093, USA., De Maio N; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton CB10 1SD, UK., Hughes S; Department of Health and Mental Hygiene, New York City Public Health Laboratory, New York, NY 10016, USA., Corbett-Detig R; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA. |
| Source: | Virus evolution [Virus Evol] 2024 Jan 11; Vol. 10 (1), pp. vead085. Date of Electronic Publication: 2024 Jan 11 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101664675 Publication Model: eCollection Cited Medium: Print ISSN: 2057-1577 (Print) Linking ISSN: 20571577 NLM ISO Abbreviation: Virus Evol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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