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stuart: an R package for the curation of SNP genotypes from experimental crosses

Genetic mapping in 2-generation crosses requires genotyping, usually performed with single nucleotide polymorphism markers arrays which provide high-density genetic information. However, genetic analysis on raw genotypes can lead to spurious or unreliable results due to defective single nucleotide p...

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Autores principales: Bourdon, Marie, Montagutelli, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635635/
https://www.ncbi.nlm.nih.gov/pubmed/36000885
http://dx.doi.org/10.1093/g3journal/jkac219
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author Bourdon, Marie
Montagutelli, Xavier
author_facet Bourdon, Marie
Montagutelli, Xavier
author_sort Bourdon, Marie
collection PubMed
description Genetic mapping in 2-generation crosses requires genotyping, usually performed with single nucleotide polymorphism markers arrays which provide high-density genetic information. However, genetic analysis on raw genotypes can lead to spurious or unreliable results due to defective single nucleotide polymorphism assays or wrong genotype interpretation. Here, we introduce stuart, an open-source R package, which analyzes raw genotyping data to filter single nucleotide polymorphism markers based on informativeness, Mendelian inheritance pattern, and consistency with parental genotypes. The functions of this package provide a curation pipeline and formatting adequate for genetic analysis with the R/qtl package. stuart is available with detailed documentation from https://gitlab.pasteur.fr/mouselab/stuart/.
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spelling pubmed-96356352022-11-07 stuart: an R package for the curation of SNP genotypes from experimental crosses Bourdon, Marie Montagutelli, Xavier G3 (Bethesda) Software and Data Resources Genetic mapping in 2-generation crosses requires genotyping, usually performed with single nucleotide polymorphism markers arrays which provide high-density genetic information. However, genetic analysis on raw genotypes can lead to spurious or unreliable results due to defective single nucleotide polymorphism assays or wrong genotype interpretation. Here, we introduce stuart, an open-source R package, which analyzes raw genotyping data to filter single nucleotide polymorphism markers based on informativeness, Mendelian inheritance pattern, and consistency with parental genotypes. The functions of this package provide a curation pipeline and formatting adequate for genetic analysis with the R/qtl package. stuart is available with detailed documentation from https://gitlab.pasteur.fr/mouselab/stuart/. Oxford University Press 2022-08-24 /pmc/articles/PMC9635635/ /pubmed/36000885 http://dx.doi.org/10.1093/g3journal/jkac219 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software and Data Resources
Bourdon, Marie
Montagutelli, Xavier
stuart: an R package for the curation of SNP genotypes from experimental crosses
title stuart: an R package for the curation of SNP genotypes from experimental crosses
title_full stuart: an R package for the curation of SNP genotypes from experimental crosses
title_fullStr stuart: an R package for the curation of SNP genotypes from experimental crosses
title_full_unstemmed stuart: an R package for the curation of SNP genotypes from experimental crosses
title_short stuart: an R package for the curation of SNP genotypes from experimental crosses
title_sort stuart: an r package for the curation of snp genotypes from experimental crosses
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635635/
https://www.ncbi.nlm.nih.gov/pubmed/36000885
http://dx.doi.org/10.1093/g3journal/jkac219
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