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

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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

GenomicsPLoS BiologyPeer-reviewedJan 18, 2022

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

Akihiro Kuno, Yoshihisa Ikeda, Shinya Ayabe…·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.

21 citations

long-read sequencingmachine learning (classical)

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