Author

Surender Khurana

United States Food and Drug AdministrationORCID 0000-0002-0593-7965Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

Adrienne G. RandolphiD· 2 shared Christoph LangeiD· 2 shared Dmitry ProkopenkoiD· 2 shared Georg HahniD· 2 shared Julian HeckeriD· 2 shared Lindsey Robert BadeniD· 2 shared Sanghun LeeiD· 2 shared Scott T. WeissiD· 2 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Adrienne G. RandolphORCID

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Author profile →

3 papers

Recent·Most cited

Comparison of a long-read amplicon sequencing approach to short-read amplicons for microbiome analysis

Brandon O’Sullivan, Katherine W. Herbst, Alexander H. Hogan, Michele A. Maltz, Justin David Radolf, David Lawrence, Michael A. Lynes, Juan Carlos Salazar, Joerg Graf, The Connecticut Children’s COVID Collaborative, Michael Brimacombe, Christopher L. Carroll, Kyle J. Carson, Taylor R. T. Dagenais, Catalina De La Cruz Macias, , Surender Khurana

This paper compares StrainID long-read amplicon sequencing to short-read amplicons for microbiome analysis, showing similar performance overall but better phylogenetic diversity and taxonomic classification in saliva samples.

Microbiology Spectrum · May 19, 2026Peer-reviewedMicrobiology

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest

Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael Cho, Surender Khurana, Lindsey Robert Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange

BMC Bioinformatics · Dec 19, 2022Peer-reviewedBioinformatics

Unsupervised genome-wide cluster analysis: nucleotide sequences of the omicron variant of SARS-CoV-2 are similar to sequences from early 2020

Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Tanya Novak, Julian Hecker, Surender Khurana, Lindsey Robert Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange

The paper uses unsupervised cluster analysis to show that omicron variant SARS-CoV-2 sequences are most similar to early 2020 sequences, suggesting long-term circulation.

bioRxiv · Dec 29, 2021 · PreprintBioinformatics