Author

Sayaka Suzuki

University of TsukubaORCID 0000-0002-6472-0301Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Akihiro KunoiD· 1 shared Arata WakimotoiD· 1 shared Atsushi YoshikiiD· 1 shared Fumihiro SugiyamaiD· 1 shared Kanako Kato· 1 shared Kazuya MurataiD· 1 shared Kento MorimotoiD· 1 shared Kotaro SakamotoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Akihiro KunoORCID

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1 paper

Recent·Most cited

Multiplex genotyping method to validate the multiallelic genome editing outcomes using machine learning-assisted long-read sequencing

Akihiro Kuno, Yoshihisa Ikeda, Shinya Ayabe, Kanako Kato, Kotaro Sakamoto, Sayaka Suzuki, Kento Morimoto, Arata Wakimoto, Natsuki Mikami, Miyuki Ishida, Natsumi Iki, Yuko Hamada, Megumi Takemura, Yoko Daitoku, Yoko Tanimoto, , Seiya Mizuno

This paper introduces DAJIN, a machine learning-assisted long-read sequencing method for comprehensive multiplex genotyping of genome editing outcomes, including intended and unintended mutations.

PLoS Biology · Jan 18, 2022Peer-reviewedGenomics