Author

S. Nozawa

Tamagawa University

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

Biology Disciplines

Click to filter author papers

Microbiology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Organism:fungi (other)· 1 Organism:plant (other)· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. Shimizu· 1 shared H. Ichida· 1 shared H. Kato· 1 shared K. Satoh· 1 shared Kyoko WatanabeiD· 1 shared R. Morita· 1 shared T. Abe· 1 shared Y. Hase· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperPlant Biology

A. Shimizu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologybioRxivPreprintApr 19, 2025

ANI-netID: a genome similarity-network based biological identification system

S. Nozawa, Kyoko Watanabe

ANI-netID identifies fungal species by determining clique groups based on nucleotide similarity, addressing issues with traditional threshold-based methods.

DOI 10.1101/2025.04.19.649685

fungi (other)DNA methylation

𝕏 PostBluesky

Plant BiologybioRxivJan 5, 2020

Genome sequencing of ion-beam-induced mutants facilitates the detection of candidate genes responsible for phenotypes of mutants in rice

Y. Oono, H. Ichida, R. Morita…·Y. Hase

The paper uses whole-exome sequencing to identify mutations in ion-beam-induced rice mutants, finding high-impact mutations linked to mutant phenotypes.

DOI 10.1016/j.mrfmmm.2020.111691

plant (other)whole-exome sequencing

𝕏 PostBluesky