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

We 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 la...

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Main Authors: Huang, B Emma, Raghavan, Chitra, Mauleon, Ramil, Broman, Karl W., Leung, Hei
Format: Journal Article
Language:Inglés
Published: Oxford University Press 2014
Subjects:
Online Access:https://hdl.handle.net/10568/165527
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author Huang, B Emma
Raghavan, Chitra
Mauleon, Ramil
Broman, Karl W.
Leung, Hei
author_browse Broman, Karl W.
Huang, B Emma
Leung, Hei
Mauleon, Ramil
Raghavan, Chitra
author_facet Huang, B Emma
Raghavan, Chitra
Mauleon, Ramil
Broman, Karl W.
Leung, Hei
author_sort Huang, B Emma
collection Repository of Agricultural Research Outputs (CGSpace)
description We 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.
format Journal Article
id CGSpace165527
institution CGIAR Consortium
language Inglés
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Oxford University Press
publisherStr Oxford University Press
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spelling CGSpace1655272025-12-08T09:54:28Z Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses Huang, B Emma Raghavan, Chitra Mauleon, Ramil Broman, Karl W. Leung, Hei crosses genetic markers genomics genotypes methods parents plant breeding We 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. 2014-05-01 2024-12-19T12:55:09Z 2024-12-19T12:55:09Z Journal Article https://hdl.handle.net/10568/165527 en Oxford University Press Huang, B Emma; Raghavan, Chitra; Mauleon, Ramil; Broman, Karl W and Leung, Hei. 2014. Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses.
spellingShingle crosses
genetic markers
genomics
genotypes
methods
parents
plant breeding
Huang, B Emma
Raghavan, Chitra
Mauleon, Ramil
Broman, Karl W.
Leung, Hei
Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title_full Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title_fullStr Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title_full_unstemmed Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title_short Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses
title_sort efficient imputation of missing markers in low coverage genotyping by sequencing data from multi parental crosses
topic crosses
genetic markers
genomics
genotypes
methods
parents
plant breeding
url https://hdl.handle.net/10568/165527
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