Author

Satoyo Oda

National Cancer Center Hospital

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant calling· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Makoto HirataiD· 2 shared Noriko TanabeiD· 2 shared Teruhiko YoshidaiD· 2 shared Ai OkadaiD· 1 shared Chikako TomozawaiD· 1 shared Hiromi Sakamoto· 1 shared Katsushi TokunagaiD· 1 shared Kenichi ChibaiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Makoto HirataORCID

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2 papers

Recent·Most cited

A germline and somatic mutation sorting (GeMSort) algorithm for extracting presumed germline pathogenic variants in liquid genomic profiling: Insights from Database of Center for Cancer Genomics and Advanced Therapeutics (C-CAT)

Satoyo Oda, Manami Matsukawa, Chikako Tomozawa, Noriko Tanabe, Tomoko Watanabe, Takafumi Koyama, Teruhiko Yoshida, Makoto Hirata

The paper develops a GeMSort algorithm to accurately distinguish germline from somatic variants in liquid biopsy genomic profiling using real-world data from over 11,000 patients.

medRxiv · May 29, 2025 · PreprintGenetic & Genomic Medicine

A comprehensive workflow for target adaptive sampling long-read sequencing applied to hereditary cancer patient genomes

Wataru Nakamura, Makoto Hirata, Satoyo Oda, Kenichi Chiba, Ai Okada, Raúl Nicolás Mateos, Masahiro Sugawa, Naoko Iida, Mineko Ushiama, Noriko Tanabe, Hiromi Sakamoto, Yosuke Kawai, Katsushi Tokunaga, Shin‐ichi Tsujimoto, Norio Shiba, , Yuichi Shiraishi

This study develops a computational workflow for target adaptive sampling long-read sequencing and applies it to hereditary cancer genomes to identify genetic variants and epigenetic changes.

medRxiv · May 30, 2023 · PreprintGenetic & Genomic Medicine