Author

Richard Olumide Daodu

Robert Koch InstituteORCID 0009-0008-9568-4455Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:virus· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Denise KühnertiD· 2 shared Allison W LiiD· 1 shared Anderson Fernandes BritoiD· 1 shared Cornelius RoemeriD· 1 shared Emma B. HodcroftiD· 1 shared I. A. JoiaiD· 1 shared Ivan AksamentoviD· 1 shared James HadfieldiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Denise KühnertORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 17, 2026

✦ In-depth digest

Nextstrain automates real-time phylogenetic analysis of open data for endemic and emerging pathogens

Kimberly R. Andrews, Jennifer Chang, Cornelius Roemer…·Trevor Bedford

Standardized Snakemake pipelines on GitHub Actions fetch open sequence data, curate it, and publish daily or weekly updated phylogenies for 21 viruses and Mycobacterium tuberculosis.

1 citation

virusbacteria (other)

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BioinformaticsbioRxivPreprintJul 31, 2024

Machine Learning Reveals Key Glycoprotein Mutations and Rapidly Assigns Lassa Virus Lineages

Richard Olumide Daodu, Jens-Uwe Ulrich, Denise Kühnert

The paper identifies key glycoprotein mutations in Lassa virus lineages and develops a tool for rapid lineage classification.

1 citation

virusproteomics

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