Author

Julian Yu

Arizona State University

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aki Samuli HavulinnaiD· 1 shared Antonio Gonzalez· 1 shared Austin D.-E. SwaffordiD· 1 shared Daniel T. McDonaldiD· 1 shared Franck LejzerowicziD· 1 shared George ArmstrongiD· 1 shared Gregory D. Sepich‐PooreiD· 1 shared Guillaume MériciD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aki Samuli HavulinnaORCID

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1 paper

Recent·Most cited

OGUs enable effective, phylogeny-aware analysis of even shallow metagenome community structures

Qiyun Zhu, Shi Wei Huang, Antonio Gonzalez, Imran McGrath, Daniel T. McDonald, Niina Haiminen, George Armstrong, Yoshiki Vázquez‐Baeza, Julian Yu, Justin Kuczynski, Gregory D. Sepich‐Poore, Austin D.-E. Swafford, Promi Das, Justin P. Shaffer, Franck Lejzerowicz, , Rob D. Knight

This paper introduces OGUs, a metagenome analysis method that uses sequence alignment hits to reference genomes for community analysis, showing better performance in predicting biological traits than taxonomic or 16S rRNA methods.

bioRxiv · Apr 4, 2021 · PreprintBioinformatics