Author

Olga Bagrova

Okinawa Institute of Science and Technology Graduate 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

Click to filter author papers

Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anja SpangiD· 1 shared Anzhelika KoldaevaiD· 1 shared Ben J. WoodcroftiD· 1 shared Gergely J. SzöllősiiD· 1 shared Joshua A. M. Mitchell· 1 shared Philip HugenholtziD· 1 shared Tom A. WilliamsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

Anja SpangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Models trained with noisy genomes extend bacterial phenotype prediction into deep time

Anzhelika Koldaeva, Olga Bagrova, Joshua A. M. Mitchell, Philip Hugenholtz, Anja Spang, Ben J. Woodcroft, Tom A. Williams, Gergely J. Szöllősi

This paper shows that adding noise to gene content data improves machine learning predictions of bacterial phenotypes across evolutionary time, concluding the last bacterial common ancestor was anaerobic, double-membraned, and moderately thermophilic.

bioRxiv · Jul 2, 2026 · PreprintEvolutionary Biology