Author

Kaworu Ebana

National Agriculture and Food Research Organization

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Organism:plant (other)· 1 Approach:simulation· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hiromi Kajiya‐KanegaeiD· 1 shared Hiroshi NakagawaiD· 1 shared Hiroyoshi IwataiD· 1 shared Kosuke HamazakiiD· 1 shared Masanori YamasakiiD· 1 shared Shiori YabeiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenomics

Hiromi Kajiya‐KanegaeORCID

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1 paper

Recent·Most cited

Choosing the optimal population for a genome-wide association study: a simulation using whole-genome sequences from rice

Kosuke Hamazaki, Hiromi Kajiya‐Kanegae, Masanori Yamasaki, Kaworu Ebana, Shiori Yabe, Hiroshi Nakagawa, Hiroyoshi Iwata

This study shows that combining target populations with more diverse populations improves GWAS power for detecting QTNs, depending on genetic diversity metrics like FST and He.

The Plant Genome · Mar 1, 2020Peer-reviewedGenomics