Author

Nami Sakamoto

Tokyo University of Agriculture and TechnologyORCID 0009-0006-1998-6561Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Hiroshi TsugawaiD· 2 shared Kozo NishidaiD· 2 shared Makoto AritaiD· 2 shared Takaki OkaiD· 2 shared Yuki Matsuzawa· 2 shared Aleš KvasničkaiD· 1 shared Aya Hori· 1 shared Bujinlkham Buyantogtokh· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Hiroshi TsugawaORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 28, 2024

MS-DIAL 5 multimodal mass spectrometry data mining unveils lipidome complexities

Hiroaki Takeda, Yuki Matsuzawa, Manami Takeuchi…·Hiroshi Tsugawa

The paper introduces MS-DIAL 5, a tool for analyzing multimodal mass spectrometry data to elucidate lipid structures and localization using structural annotations.

140 citationstop 1%

humanmouse

𝕏 PostBluesky

BioinformaticsMetabolitesPeer-reviewedNov 7, 2024

MS2Lipid: a lipid subclass prediction program using machine learning and curated tandem mass spectral data

Nami Sakamoto, Takaki Oka, Yuki Matsuzawa…·Hiroshi Tsugawa

MS2Lipid predicts lipid subclasses from MS/MS data using machine learning, achieving high accuracy and outperforming existing tools.

9 citations

humanmetagenomics

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