Author

Jacqueline B. Young

University of North Carolina at Charlotte

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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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anthony A. FodoriD· 2 shared Aadra Prashant BhattiD· 1 shared Anh D. Moss· 1 shared Bo LiuiD· 1 shared Farnaz FouladiiD· 1 shared Jeremy HerzogiD· 1 shared Ryan Balfour SartoriD· 1 shared Saori KashiwagiiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersMicrobiology

Anthony A. FodorORCID

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2 papers

Recent·Most cited

MicrobiologyMicrobiomePeer-reviewedAug 7, 2024

Mouse Adaptation of Human Inflammatory Bowel Diseases Microbiota Enhances Colonization Efficiency and Alters Microbiome Aggressiveness Depending on Recipient Colonic Inflammatory Environment

Simon M. Gray, Anh D. Moss, Jeremy Herzog…·Ryan Balfour Sartor

This study shows that adapting human IBD microbiota for mice improves colonization efficiency and alters microbiome aggressiveness based on the recipient's inflammatory environment.

27 citations

mousemetagenomics

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BioinformaticsbioRxivPreprintJan 29, 2021

HashSeq: A Simple, Scalable, and Conservative De Novo Variant Caller for 16S rRNA Gene Datasets

Farnaz Fouladi, Jacqueline B. Young, Anthony A. Fodor

HashSeq detects single-nucleotide variants in 16S rRNA gene datasets using a fast HashMap-based approach and background error estimation, producing conservative and well-supported variant calls.

DOI 10.1101/2021.01.29.428714

metagenomicsstatistical model

𝕏 PostBluesky