Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses

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dc.creatorHuang, B Emma
dc.creatorRaghavan, Chitra
dc.creatorMauleon, Ramil
dc.creatorBroman, Karl W.
dc.creatorLeung, Hei
dc.date2014-05-01
dc.date2024-12-19T12:55:09Z
dc.date2024-12-19T12:55:09Z
dc.date.accessioned2026-06-27T04:11:16Z
dc.descriptionWe consider genomic imputation for low-coverage genotyping-by-sequencing data with high levels of missing data. We compensate for this loss of information by utilizing family relationships in multiparental experimental crosses. This nearly quadruples the number of usable markers when applied to a large rice Multiparent Advanced Generation InterCross (MAGIC) study.
dc.identifierhttps://hdl.handle.net/10568/165527
dc.identifier.urihttp://hdl.handle.net/123456789/24416
dc.languageen
dc.publisherOxford University Press
dc.sourceHuang, B.E., Raghavan, C., Mauleon, R., Broman, K.W. and Leung, H. 2014. Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses.
dc.subjectcrosses
dc.subjectgenetic markers
dc.subjectgenomics
dc.subjectgenotypes
dc.subjectmethods
dc.subjectparents
dc.subjectplant breeding
dc.titleEfficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)