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RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations

Genetic linkage maps are indispensable tools in genetic, genomic and breeding studies. As one of genotyping-by-sequencing methods, RAD-Seq (restriction-site associated DNA sequencing) has gained particular popularity for construction of high-density linkage maps. Current RAD analytical tools are bei...

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Autores principales: Fu, Xiaoteng, Dou, Jinzhuang, Mao, Junxia, Su, Hailin, Jiao, Wenqian, Zhang, Lingling, Hu, Xiaoli, Huang, Xiaoting, Wang, Shi, Bao, Zhenmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3836964/
https://www.ncbi.nlm.nih.gov/pubmed/24278224
http://dx.doi.org/10.1371/journal.pone.0079960
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author Fu, Xiaoteng
Dou, Jinzhuang
Mao, Junxia
Su, Hailin
Jiao, Wenqian
Zhang, Lingling
Hu, Xiaoli
Huang, Xiaoting
Wang, Shi
Bao, Zhenmin
author_facet Fu, Xiaoteng
Dou, Jinzhuang
Mao, Junxia
Su, Hailin
Jiao, Wenqian
Zhang, Lingling
Hu, Xiaoli
Huang, Xiaoting
Wang, Shi
Bao, Zhenmin
author_sort Fu, Xiaoteng
collection PubMed
description Genetic linkage maps are indispensable tools in genetic, genomic and breeding studies. As one of genotyping-by-sequencing methods, RAD-Seq (restriction-site associated DNA sequencing) has gained particular popularity for construction of high-density linkage maps. Current RAD analytical tools are being predominantly used for typing codominant markers. However, no genotyping algorithm has been developed for dominant markers (resulting from recognition site disruption). Given their abundance in eukaryotic genomes, utilization of dominant markers would greatly diminish the extensive sequencing effort required for large-scale marker development. In this study, we established, for the first time, a novel statistical framework for de novo dominant genotyping in mapping populations. An integrated package called RADtyping was developed by incorporating both de novo codominant and dominant genotyping algorithms. We demonstrated the superb performance of RADtyping in achieving remarkably high genotyping accuracy based on simulated and real mapping datasets. The RADtyping package is freely available at http://www2.ouc.edu.cn/mollusk/ detailen.asp?id=727.
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spelling pubmed-38369642013-11-25 RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations Fu, Xiaoteng Dou, Jinzhuang Mao, Junxia Su, Hailin Jiao, Wenqian Zhang, Lingling Hu, Xiaoli Huang, Xiaoting Wang, Shi Bao, Zhenmin PLoS One Research Article Genetic linkage maps are indispensable tools in genetic, genomic and breeding studies. As one of genotyping-by-sequencing methods, RAD-Seq (restriction-site associated DNA sequencing) has gained particular popularity for construction of high-density linkage maps. Current RAD analytical tools are being predominantly used for typing codominant markers. However, no genotyping algorithm has been developed for dominant markers (resulting from recognition site disruption). Given their abundance in eukaryotic genomes, utilization of dominant markers would greatly diminish the extensive sequencing effort required for large-scale marker development. In this study, we established, for the first time, a novel statistical framework for de novo dominant genotyping in mapping populations. An integrated package called RADtyping was developed by incorporating both de novo codominant and dominant genotyping algorithms. We demonstrated the superb performance of RADtyping in achieving remarkably high genotyping accuracy based on simulated and real mapping datasets. The RADtyping package is freely available at http://www2.ouc.edu.cn/mollusk/ detailen.asp?id=727. Public Library of Science 2013-11-21 /pmc/articles/PMC3836964/ /pubmed/24278224 http://dx.doi.org/10.1371/journal.pone.0079960 Text en © 2013 Fu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Fu, Xiaoteng
Dou, Jinzhuang
Mao, Junxia
Su, Hailin
Jiao, Wenqian
Zhang, Lingling
Hu, Xiaoli
Huang, Xiaoting
Wang, Shi
Bao, Zhenmin
RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title_full RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title_fullStr RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title_full_unstemmed RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title_short RADtyping: An Integrated Package for Accurate De Novo Codominant and Dominant RAD Genotyping in Mapping Populations
title_sort radtyping: an integrated package for accurate de novo codominant and dominant rad genotyping in mapping populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3836964/
https://www.ncbi.nlm.nih.gov/pubmed/24278224
http://dx.doi.org/10.1371/journal.pone.0079960
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