Author

Ellsworth M. Campbell

Centers for Disease Control and PreventionORCID 0000-0002-9535-4420Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anupama ShankariD· 2 shared Sergey KnyazeviD· 2 shared William M. SwitzeriD· 2 shared Alex ZelikovskyiD· 1 shared Alexander ArtyomenkoiD· 1 shared Andrew MelnykiD· 1 shared Anthony BoylesiD· 1 shared Jay KimiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Anupama ShankarORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 7, 2021

MicrobeTrace: Retooling Molecular Epidemiology for Rapid Public Health Response

Ellsworth M. Campbell, Anthony Boyles, Anupama Shankar…·William M. Switzer

MicrobeTrace integrates and analyzes multi-source public health data to support rapid outbreak response, demonstrating its utility with HIV and SARS-CoV-2 datasets.

55 citationstop 2%

humanDNA methylation

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BioinformaticsNucleic Acids ResearchPeer-reviewedJun 18, 2021

Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction

Sergey Knyazev, Viachaslau Tsyvina, Anupama Shankar…·Alex Zelikovsky

This paper introduces CliqueSNV, a method to accurately identify minority viral haplotypes from NGS data by reducing sequencing noise, achieving detection at frequencies as low as 0.1%.

88 citationstop 3%

whole-genome sequencingstatistical model

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