Author

Steven G. Sutcliffe

McGill UniversityORCID 0000-0001-5160-6502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:simulation· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abayomi S. OlabodeiD· 1 shared Alexandre DefelicibusiD· 1 shared Alyssa K. OvertoniD· 1 shared Art F. Y. PooniD· 1 shared Aspasia OrfanouiD· 1 shared B. Jesse ShapiroiD· 1 shared David DreifussiD· 1 shared Delaney NashiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abayomi S. OlabodeORCID

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1 paper

Recent·Most cited

BioinformaticsMicrobial GenomicsPeer-reviewedMay 24, 2024

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data

Steven G. Sutcliffe, Susanne A. Kraemer, Isaac Ellmen…·B. Jesse Shapiro

The paper evaluates nine computational tools for identifying SARS-CoV-2 lineages in wastewater sequencing data using simulated samples, finding most tools reliably detect lineages above 5% frequency.

19 citationstop 2%

whole-genome sequencingsimulation

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