Author

Adam Waalkes

University of WashingtonORCID 0000-0002-5202-1108Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Kelsi M. PenewitiD· 2 shared Stephen J. SalipanteiD· 2 shared Abigail G. SchindleriD· 1 shared Alyssa Easton· 1 shared Ana A. WeiliD· 1 shared Arpad M. DanosiD· 1 shared Baylee Eilers· 1 shared Bryan P. Schuessler· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMicrobiology

Kelsi M. PenewitORCID

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2 papers

Recent·Most cited

If you give a mouse a poopsicle: a novel fecal microbiota transplant method for exploring the role of the gut microbiome in stress-related outcomes in mice

Monica Tschang, Ronin Deo-Campo Vuong, Baylee Eilers, Denise Chac, Adam Waalkes, Kelsi M. Penewit, Alyssa Easton, Bryan P. Schuessler, Renata M. Daniels, Ana A. Weil, Stephen J. Salipante, Sean M. Gibbons, Abigail G. Schindler

This paper introduces a novel fecal microbiota transplant method using 'poopsicles' to reduce stress in mice, showing lower corticosterone levels and better microbial similarity compared to traditional gavage.

Frontiers in Immunology · Apr 24, 2026Peer-reviewedMicrobiology

Identification of community-consensus clinically relevant variants and development of single molecule molecular inversion probes using the CIViC database

Erica Kay Barnell, Adam Waalkes, Matthew Mosior, Kelsi M. Penewit, Kelsy C. Cotto, Arpad M. Danos, Lana M. Sheta, Katie Marie Campbell, Kilannin Krysiak, Damian Tobias Rieke, Nicholas C. Spies, Zachary L. Skidmore, Colin C. Pritchard, Todd A. Fehniger, Ravindra Uppaluri, , Obi L. Griffith

The paper designs single molecule molecular inversion probes targeting clinically relevant variants using the CIViC database, demonstrating high sensitivity and discovering missed variants in cancer samples.

JCO Clinical Cancer Informatics · Oct 16, 2019Peer-reviewedBioinformatics