Author

Tanya Novak

Boston Children's HospitalORCID 0000-0002-7115-7545Unclaimed 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:clustering· 1 Research Focus:variant calling· 1 Organism:virus· 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

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Adrienne G. RandolphORCID

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2 papers

Recent·Most cited

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