Author

Yoko Ono

Hiroshima UniversityORCID 0000-0003-4616-4951Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:statistical model· 3 Organism:human· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Hidemasa U. BonoiD· 3 shared Takayuki SuzukiiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Hidemasa U. BonoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsLife Science AlliancePeer-reviewedOct 10, 2022

Exploratory Meta-Analysis of Hypoxic Transcriptomes Using Precise Transcript Reference Sequence Set

Yoko Ono, Hidemasa U. Bono

The paper performs a meta-analysis of hypoxic transcriptomes using FANTOM-CAT to evaluate hypoxia responsiveness and relationships between sense-antisense transcripts.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsBiomedicinesPeer-reviewedDec 3, 2021

Comparison of Oxidative and Hypoxic Stress Responsive Genes from Meta-Analysis of Public Transcriptomes

Takayuki Suzuki, Yoko Ono, Hidemasa U. Bono

The paper performs a meta-analysis of RNA-seq data to compare oxidative and hypoxic stress-responsive genes, identifying shared and distinct gene expression patterns.

11 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBiomedicinesPeer-reviewedMay 20, 2021

Multi-omic meta-analysis of transcriptomes and the bibliome uncovers novel hypoxia-inducible genes

Yoko Ono, Hidemasa U. Bono

This study identifies novel hypoxia-inducible genes through a meta-analysis of transcriptomes and bibliome data, revealing previously uncharacterized genes like G protein-coupled receptor 146.

25 citations

humanbulk RNA-seq

𝕏 PostBluesky