Author

Hannah Constance Wastyk

Stanford MedicineORCID 0000-0002-4755-5092Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Justin Laine SonnenburgiD· 2 shared Carlos G. GonzaleziD· 1 shared Caroline Isabel KotheiD· 1 shared Christopher D. GardneriD· 1 shared Elisa B. CaffreyiD· 1 shared Joshua D. EvansiD· 1 shared Joshua Eric EliasiD· 1 shared Madeline A. Topf· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

Justin Laine SonnenburgORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MiFoDB, a workflow for microbial food metagenomic characterization, enables high-resolution analysis of fermented food microbial dynamics

Elisa B. Caffrey, Matthew R. Olm, Caroline Isabel Kothe, Hannah Constance Wastyk, Joshua D. Evans, Justin Laine Sonnenburg

MiFoDB is a metagenomics workflow that identifies microbes in fermented foods with high taxonomic resolution, enabling strain tracking and functional analysis.

mSystems · Aug 19, 2025Peer-reviewedMicrobiology

High-Throughput Stool Metaproteomics: Method and Application to Human Specimens

Carlos G. Gonzalez, Hannah Constance Wastyk, Madeline A. Topf, Christopher D. Gardner, Justin Laine Sonnenburg, Joshua Eric Elias

This paper introduces a high-throughput stool proteomic pipeline, SHT-Pro, and demonstrates its application in classifying dietary interventions based on proteomic profiles with up to 89% accuracy.

mSystems · Jun 29, 2020Peer-reviewedSystems Biology