Author

Takeshi Urano

Shimane UniversityORCID 0000-0003-3383-3554Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Research Focus:gene regulatory network inference· 3 Organism:yeast· 3 Assay:ChIP-seq· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Hiroaki KatoiD· 3 shared Mitsuhiro ShimizuiD· 3 shared Hitoshi KurumizakaiD· 1 shared Shoko SatoiD· 1 shared Tomohiro Fuse· 1 shared Wataru KagawaiD· 1 shared Yasuyuki OhkawaiD· 1 shared Yohei Kurihara· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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3 shared papersMolecular Biology

Hiroaki KatoORCID

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3 papers

Recent·Most cited

Locations of consecutive G·C base-pairs direct genomic nucleosome positioning

Hiroaki Kato, Tomohiro Fuse, Shoko Sato, Yohei Kurihara, Wataru Kagawa, Takeshi Urano, Yasuyuki Ohkawa, Hitoshi Kurumizaka, Mitsuhiro Shimizu

The paper identifies that CC and GG dinucleotides at specific positions influence nucleosome positioning in yeast and mouse genomes by destabilizing histone-DNA interactions.

Genome Research · Jun 25, 2026Peer-reviewedMolecular Biology

Asymmetric patterns of nucleosome positioning sequences in protein-coding regions

Hiroaki Kato, Mitsuhiro Shimizu, Takeshi Urano

The paper identifies asymmetric nucleosome positioning preferences in yeast protein-coding regions using a chimeric DNA model, revealing sequence-specific dinucleotide contributions to nucleosome stability.

bioRxiv · Apr 16, 2023 · PreprintGenomics

Chemical map-based prediction of nucleosome positioning using the Bioconductor package nuCpos

Hiroaki Kato, Mitsuhiro Shimizu, Takeshi Urano

The paper develops a Bioconductor package, nuCpos, that uses chemical maps to predict nucleosome positioning more accurately than MNase-seq-based methods.

BMC Bioinformatics · Jun 13, 2021Peer-reviewedBioinformatics