Author

Alicia A. Gingrich

University of California Davis Medical CenterORCID 0000-0002-7239-0154Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Titus BrowniD· 2 shared Alex WaldropiD· 1 shared Amanda L. CharbonneauiD· 1 shared Amy D. WillisiD· 1 shared Anup MahurkariD· 1 shared Arthur BradyiD· 1 shared Avi Ma’ayaniD· 1 shared Blair D. SullivaniD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

C. Titus BrownORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Meta-analysis of metagenomes via machine learning and assembly graphs reveals strain switches in Crohn's disease

Taylor E. Reiter, Luiz C. Irber, Alicia A. Gingrich, Dylan Haynes, N. Tessa Pierce‐Ward, Phillip Brooks, Yosuke Mizutani, Dominik Moritz, Felix Reidl, Amy D. Willis, Blair D. Sullivan, C. Titus Brown

The paper identifies five bacterial strains associated with Crohn's disease using a novel method combining machine learning and assembly graphs for metagenomic analysis.

bioRxiv · Jun 30, 2022 · PreprintBioinformatics

Making Common Fund data more Findable: Catalyzing a Data Ecosystem

Amanda L. Charbonneau, Arthur Brady, Karl Czajkowski, Jain Aluvathingal, Saranya Canchi, Robert Carter, Kyle Chard, Daniel J. B. Clarke, Jonathan Crabtree, Heather H. Creasy, Mike D’Arcy, Victor Felix, Michelle Gwinn Giglio, Alicia A. Gingrich, Rayna M Harris, , Owen R. White

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

GigaScience · Jan 1, 2022Peer-reviewedBioinformatics