Author

R. Inui

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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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:experimental assay· 3 Assay:metagenomics· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Y. Akamatsu· 3 shared H. Doi· 2 shared M. Goto· 2 shared R. Nakao· 2 shared S. Matsuoka· 2 shared T. Kono· 2 shared M. Saito· 1 shared S. Miyazono· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 27 mutual co-author links

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3 shared papersEcology

Y. Akamatsu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Quantitative environmental DNA metabarcoding shows high potential as a novel approach to quantitatively assess fish community

S. Tsuji, R. Inui, R. Nakao, S. Miyazono, M. Saito, T. Kono, Y. Akamatsu

This study evaluates the qMiSeq approach for quantitative eDNA metabarcoding to assess fish communities by comparing eDNA concentrations with capture survey results.

bioRxiv · Apr 27, 2022Ecology

Estimation of biodiversity metrics by environmental DNA metabarcoding compared with visual and capture surveys of river fish communities

H. Doi, R. Inui, S. Matsuoka, Y. Akamatsu, M. Goto, T. Kono

This study compares eDNA metabarcoding with visual and capture surveys to estimate alpha and gamma diversity in river fish communities, finding eDNA detects more species and provides broader regional insights.

bioRxiv · Apr 11, 2021 · PreprintEcology

Illumina iSeq 100 and MiSeq exhibit similar performance in freshwater fish environmental DNA metabarcoding

R. Nakao, R. Inui, Y. Akamatsu, M. Goto, S. Matsuoka, H. Doi

The paper compares the performance of Illumina iSeq 100 and MiSeq in fish eDNA metabarcoding, finding similar species detection but differences in species count.

bioRxiv · Aug 4, 2020Ecology