Author

Hyoyoung Choo‐Wosoba

National Institutes of HealthORCID 0000-0002-8756-1016Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Bin ZhuiD· 1 shared Carissa ChaniD· 1 shared Carole A. BewleyiD· 1 shared Hari ShroffiD· 1 shared Hyo Moon ChoiD· 1 shared Jiji CheniD· 1 shared Kumaran S. RamamurthiiD· 1 shared L. AravindiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Bin ZhuORCID

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2 papers

Recent·Most cited

MicrobiologyScience AdvancesPeer-reviewedOct 18, 2024

Altruistic feeding and cell-cell signaling during bacterial differentiation actively enhance phenotypic heterogeneity

Taylor B. Updegrove, Thomas Delerue, Vivek Anantharaman…·Kumaran S. Ramamurthi

This study shows that bacterial differentiation through altruistic feeding and cell-cell signaling increases phenotypic heterogeneity, enhancing population resilience to environmental changes.

10 citations

bacteria (other)experimental assay

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedNov 14, 2018

hsegHMM: Hidden Markov Model-based Allele-specific Copy Number Alteration Analysis Accounting for Hypersegmentation

Hyoyoung Choo‐Wosoba, Paul S. Albert, Bin Zhu

hsegHMM is a hidden Markov model for allele-specific copy number analysis that addresses hypersegmentation, outperforming FACETS in uneven coverage scenarios.

3 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky