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In silico analyses identify sequence contamination thresholds for Nanopore-generated SARS-CoV-2 sequences.

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Title: In silico analyses identify sequence contamination thresholds for Nanopore-generated SARS-CoV-2 sequences.
Authors: Bolaji, Ayooluwa J.1,2 (AUTHOR), Duggan, Ana T.1 (AUTHOR) ana.duggan@phac-aspc.gc.ca
Source: PLoS Computational Biology. 8/19/2024, Vol. 20 Issue 8, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: In silico analyses identify sequence contamination thresholds for Nanopore-generated SARS-CoV-2 sequences.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 8/19/2024, Vol. 20 Issue 8, p1-17. 17p.
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        Value: 10.1371/journal.pcbi.1011539
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