Author

Kaori Adachi

Tottori UniversityORCID 0000-0002-2511-7892Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Atsushi HijikataiD· 1 shared Eiji NanbaiD· 1 shared Hideo SasaiiD· 1 shared Junichi HosokawaiD· 1 shared Keiko MatsubaraiD· 1 shared Keisuke MiyakoiD· 1 shared Kenji KurosawaiD· 1 shared Kumiko YanagiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Atsushi HijikataORCID

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1 paper

Recent·Most cited

GenomicsNucleic Acids ResearchPeer-reviewedNov 14, 2023

Exome-wide benchmark of difficult-to-sequence regions using short-read next-generation DNA sequencing

Atsushi Hijikata, Mikita Suyama, Shingo Kikugawa…·Osamu Ohara

The paper benchmarks difficult-to-sequence regions in the human exome using machine learning and real-world NGS data from gnomAD to improve clinical sequencing accuracy.

14 citations

humanwhole-exome sequencing

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