Author

Minoru Kanehisa

Kyoto UniversityORCID 0000-0001-6123-540XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Assay:protein sequence· 1

Frequent Co-Authors

Hiroyuki OgataiD· 3 shared Lingjie MengiD· 2 shared Canh Hao NguyeniD· 1 shared Cristina De CastroiD· 1 shared Hiroshi MamitsukaiD· 1 shared Hisashi EndoiD· 1 shared Ikuo UchiyamaiD· 1 shared Koichi Ohkubo· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Hiroyuki OgataORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 7, 2026

A hierarchical orthology framework reveals viral carbohydrate-active genes across the global virosphere

Lingjie Meng, Ruixuan Zhang, Cristina De Castro…·Hiroyuki Ogata

The paper identifies viral carbohydrate-active genes across diverse viral lineages using a hierarchical orthology framework and reveals their evolutionary and functional diversity.

DOI 10.64898/2026.08.04.742344

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 8, 2026

DeepKOALA: A Fast and Accurate Deep Learning Framework for KEGG Orthology Assignment

Zhaoxi Yu, Lingjie Meng, Canh Hao Nguyen…·Hiroyuki Ogata

DeepKOALA is a deep learning framework for KEGG Orthology assignment that improves speed and accuracy over traditional methods and existing tools.

1 citation

DNA methylationproteomics

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 18, 2019

KofamKOALA: KEGG ortholog assignment based on profile HMM and adaptive score threshold

Takuya Aramaki, Romain Blanc‐Mathieu, Hisashi Endo…·Hiroyuki Ogata

KofamKOALA assigns KEGG Orthologs to protein sequences using profile HMMs and adaptive thresholds, achieving comparable accuracy to existing tools while being faster.

2,054 citationstop 1%

protein sequencestatistical model

𝕏 PostBluesky