Author

Sharon Jiang

Duke University

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· 1 Microbiology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Lawrence A. DavidiD· 3 shared Abigail KorenekiD· 1 shared Aiden Fox· 1 shared Alexandria BartlettiD· 1 shared Brianna L. PetroneiD· 1 shared Chin Yee TaniD· 1 shared Christine B. Tenekjian· 1 shared Heather K. DurandiD· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersMolecular Biology

Lawrence A. DavidORCID

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Author profile →

3 papers

Recent·Most cited

Metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans

Brianna L. Petrone, Alexandria Bartlett, Sharon Jiang, Abigail Korenek, Simina Vintila, Christine B. Tenekjian, William S. Yancy, Lawrence A. David, Manuel Kleiner

The paper compares DNA metabarcoding and metaproteomics in stool to assess dietary intake, finding both methods identify similar food taxa and provide distinct protein-based distinctions.

bioRxiv · Apr 9, 2024 · PreprintMolecular Biology

Interplay between particle size and microbial ecology in the gut microbiome

Jeffrey Letourneau, Verónica M Carrion, Jun Zeng, Sharon Jiang, Olivia Osborne, Zachary C. Holmes, Aiden Fox, Piper Epstein, Chin Yee Tan, Michelle C. Kirtley, Neeraj K. Surana, Lawrence A. David

This study investigates the factors influencing fecal particle size in humans and finds that gut microbiota, rather than diet or behavior, primarily shape particle size.

The ISME Journal · Jan 1, 2024Peer-reviewedMicrobiology

Measuring and Mitigating PCR Bias in Microbiome Data

Justin D. Silverman, Rachael J. Bloom, Sharon Jiang, Heather K. Durand, Sayan Mukherjee, Lawrence A. David

The paper measures and mitigates PCR bias in microbiome data using experimental validation and Bayesian models.

bioRxiv · Apr 9, 2019 · PreprintGenomics