Author

O. Eulenstein

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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Evolutionary Biology· 4

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Approach:statistical model· 3 Organism:virus· 3 Research Focus:benchmarking· 2 Research Focus:phylogenetics / evolution· 2 Organism:bacteria (other)· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Markin· 3 shared T. K. Anderson· 3 shared S. Wagle· 2 shared A. Jain· 1 shared A. L. Vincent Baker· 1 shared H. N. Nguyen· 1 shared I. Friedberg· 1 shared S. Grover· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 15 mutual co-author links

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3 shared papersEvolutionary Biology

A. Markin

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Author profile →

4 papers

Recent·Most cited

PARNAS: Objectively Selecting the Most Representative Taxa on a Phylogeny

A. Markin, S. Wagle, S. Grover, A. L. Vincent Baker, O. Eulenstein, T. K. Anderson

PARNAS selects representative taxa from large phylogenies to cover diversity efficiently, applied to influenza A virus data to inform vaccine design.

bioRxiv · Sep 12, 2022Evolutionary Biology

RF-Net 2: Fast Inference of Virus Reassortment and Hybridization Networks

A. Markin, S. Wagle, T. K. Anderson, O. Eulenstein

RF-Net 2 improves virus reassortment and hybridization network inference by handling more reticulations and providing error correction, validated on influenza A virus data.

bioRxiv · May 5, 2021Evolutionary Biology

Robinson-Foulds Reticulation Networks

A. Markin, T. K. Anderson, V. S. Vadali, O. Eulenstein

This paper introduces RF-Net, a method to reconstruct reticulation networks from error-prone input trees, demonstrating its ability to identify reassortment in influenza A viruses.

bioRxiv · May 20, 2019 · PreprintEvolutionary Biology

Tracing the Ancestry of Operons in Bacteria

H. N. Nguyen, A. Jain, O. Eulenstein, I. Friedberg

This paper develops a maximum parsimony algorithm to reconstruct ancestral operon states and introduces a software tool for exploring gene block and operon evolution.

bioRxiv · Jan 21, 2019Evolutionary Biology