Author

Seiji Toki

The University of Tokyo

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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Genomics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Kento TominagaiD· 1 shared Motomu MatsuiiD· 1 shared Takao SuzukiiD· 1 shared Takashi TsuchimatsuiD· 1 shared Wataru IwasakiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperGenomics

Kento TominagaORCID

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1 paper

Recent·Most cited

Genomic and evolutionary factors influencing the prediction accuracy of optimal growth temperature in prokaryotes

Seiji Toki, Motomu Matsui, Kento Tominaga, Takao Suzuki, Takashi Tsuchimatsu, Wataru Iwasaki

This study develops a model to predict optimal growth temperature in prokaryotes using genomic data, finding that incorporating gene presence/absence improves accuracy for psychrophiles.

mSystems · Apr 3, 2026Peer-reviewedGenomics