Accurate detections of the heterozygous SNPs with rice genomic data and prediction of de novo spontaneous mutation rate

We have developed a methodology for the detection of true positive HVs within Illumina sequencing techniques. This system removed false positive HVs, allowing for the estimation of true positive HVs and, consequently, the estimation of the mutation rate. The study outlines a clear, step-by-step procedure that can be employed to detect true HVs in different organisms.

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Publication Details

Journal
Plant Methods
Published
2025-10-03
DOI
https://doi.org/10.1186/s13007-025-01437-x
Primary Topic
Plant Disease Resistance and Genetics
Type
article
Field-Weighted Citation Impact
0.00

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article

Accurate detections of the heterozygous SNPs with rice genomic data and prediction of de novo spontaneous mutation rate

Yoshitaka Kanaoka, Yuji Kishima, Shuntaro Sakaguchi, Koichi Yamamori et al.
Plant Methods
Plant Disease Resistance and Genetics
article

Accurate detections of the heterozygous SNPs with rice genomic data and prediction of de novo spontaneous mutation rate

Yoshitaka Kanaoka, Yuji Kishima, Shuntaro Sakaguchi, Koichi Yamamori, Maria Stefanie Dwiyanti, Yohei Koide, Elias G. Balimponya
article en

Abstract

We have developed a methodology for the detection of true positive HVs within Illumina sequencing techniques. This system removed false positive HVs, allowing for the estimation of true positive HVs and, consequently, the estimation of the mutation rate. The study outlines a clear, step-by-step procedure that can be employed to detect true HVs in different organisms.

Plant MethodsVol. 21(1)
Hokkaido University (JP), Kyoto University (JP)
Japan Society for the Promotion of Science, Science and Technology Research Partnership for Sustainable Development
Openalex Percentile: Top 80%
Plant Disease Resistance and Genetics
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