Author

Rie Shimizu‐Inatsugi

University of ZurichORCID 0000-0002-9899-591XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Kentaro K. ShimizuiD· 2 shared Iqra AkramiD· 1 shared Jun SeseiD· 1 shared Lucas MohniD· 1 shared Lukas M. Rohr· 1 shared Mark D. RobinsoniD· 1 shared Samuele Decarli· 1 shared Stefan MilosavljeviciD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPlant Biology

Kentaro K. ShimizuORCID

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2 papers

Recent·Most cited

Spatial heterogeneity of disease infection attributable to neighbor genotypic identity in barley cultivars

Iqra Akram, Lukas M. Rohr, Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Yasuhiro Sato

The paper quantifies spatial disease variation in barley and links it to neighbor genotypes, finding significant genetic variants that reduce disease damage through allelic mixtures.

in silico Plants · Dec 17, 2025Peer-reviewedPlant Biology

ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw

Stefan Milosavljevic, Tony Chien-Yen Kuo, Samuele Decarli, Lucas Mohn, Jun Sese, Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Mark D. Robinson

ARPEGGIO provides an automated workflow for analyzing epigenetic data in polyploids, improving accuracy and reproducibility in DNA methylation analysis of allopolyploids.

BMC Genomics · Jul 17, 2021Peer-reviewedBioinformatics