Author

Jay M. Sage

Nabsys (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 3

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:long-read sequencing· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jennifer R. DavisiD· 3 shared John S. OliveriD· 3 shared Michael D. KaiseriD· 3 shared Anthony P. CatalanoiD· 2 shared Barrett Bready· 2 shared Boris S. Grinberg· 2 shared Leah Seward· 2 shared Aaron M. WengeriD· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersGenomics

Jennifer R. DavisORCID

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Author profile →

3 papers

Recent·Most cited

A robust benchmark for germline structural variant detection

Justin M. Zook, Nancy Fisher Hansen, Nathan D. Olson, Lesley M. Chapman, James C. Mullikin, Chunlin Xiao, Stephen T. Sherry, Sergey Koren, Adam M. Phillippy, Paul Christopher Boutros, Sayed Mohammad Ebrahim Sahraeian, Vincent Huang, Alexandre Rouette, Noah Alexander, Christopher E. Mason, , Marc Salit

Genome in a Bottle benchmark of 12745 sequence-resolved insertions and deletions of 50 bp or more, integrating 19 calling methods, scores false negatives and false positives alike.

bioRxiv · Jul 18, 2019 · PreprintGenomics

Automated Structural Variant Verification In Human Genomes Using Single-Molecule Electronic DNA Mapping

Michael D. Kaiser, Jennifer R. Davis, Boris S. Grinberg, John S. Oliver, Jay M. Sage, Leah Seward, Barrett Bready

SV-Verify uses HD-Mapping data to verify structural variants ≥300 bp with high sensitivity and specificity.

bioRxiv · May 22, 2017 · PreprintGenomics

High-Definition Electronic Genome Maps From Single Molecule Data

John S. Oliver, Anthony P. Catalano, Jennifer R. Davis, Boris S. Grinberg, Timothy E. Hutchins, Michael D. Kaiser, Steve Nurnberg, Jay M. Sage, Leah Seward, Gregory Simelgor, Nathan Weiner, Barrett Bready

The paper introduces a solid-state detector that generates high-density genome maps from single molecule data by measuring physical distances between sequence-specific tags.

bioRxiv · May 18, 2017 · PreprintGenomics