Author

Stephen W. Tanner

Illumina (United States)ORCID 0000-0002-4816-5547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:variant calling· 3 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Aditi Chawla· 1 shared Adrien Bru· 1 shared Alain Gautherot· 1 shared Alex NguyeniD· 1 shared Alexander EsparzaiD· 1 shared Alicia ScocchiaiD· 1 shared Alison J. CoffeyiD· 1 shared Alka MalhotraiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperGenomics

Aditi Chawla

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Author profile →

3 papers

Recent·Most cited

A rapid, sensitive, and quantitative high plex biomarker digital detection platform enabled by Hypercoding

Madhavi Bathina, Angela P. Blum, Jeffrey D. Brodin, Nicole DeBuono, Yao Fu, Bo Lu, Matthew R. Naticchia, Daniel Ortiz, Andrew Richards, Cyrus de Rozieres, Rachel M. Schowalter, Sarah Shultzaberger, Samantha Snow, Stephen W. Tanner, Christy L. Trejo, , Ludovic G. Vincent

This paper introduces Hypercoding, a high-plex biomarker detection platform that enables sensitive and quantitative analysis of multi-omic targets with high accuracy and resolution.

bioRxiv · Mar 25, 2026 · PreprintGenomics

A framework for evaluating edited cell libraries created by massively parallel genome engineering

Simon E. Cawley, Eric Abbate, Christopher G. Abraham, Steven Alvarez, Mathew Barber, Scott Bolte, Jocelyne Bruand, Deanna M. Church, Clint Davis, Matthew Estes, Stephen Federowicz, Richard J. Fox, Miles W. Gander, Andrew D. Garst, Gozde Gencer, , Michael S. Graige

The paper introduces a framework for evaluating edited cell libraries generated by genome engineering, defining metrics and connecting analysis to phenotyping approaches.

bioRxiv · Sep 23, 2021 · PreprintGenomics

Copy number variants in clinical WGS: deployment and interpretation for rare and undiagnosed disease

Andrew M. Gross, Subramanian S. Ajay, Vani Rajan, Carolyn M. Brown, Krista K. Bluske, Nicole C. Burns, Aditi Chawla, Alison J. Coffey, Alka Malhotra, Alicia Scocchia, Erin Thorpe, Natasa Dzidic, Karine Hovanes, Trilochan Sahoo, Egor Dolzhenko, , Ryan J. Taft

This study evaluates copy number variant detection in clinical whole genome sequencing, finding it as sensitive as microarrays with additional variants, and identifies clinically significant CNVs in 15% of cases.

Genetics in Medicine · Oct 3, 2018Peer-reviewedGenomics