Author

Franck Lejzerowicz

University of California San DiegoORCID 0000-0002-3195-032XUnclaimed ORCID profile · follow to get notified of new preprints

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 George ArmstrongiD· 1 shared Gregory D. Sepich‐PooreiD· 1 shared Guillaume MériciD· 1 shared Ho‐Cheol KimiD· 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