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

IF 2.2
Marie Bourdon, Xavier Montagutelli
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引用次数: 3

Abstract

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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斯图尔特:一个R包,用于从实验杂交中管理SNP基因型。
2代杂交的遗传作图需要基因分型,通常采用单核苷酸多态性标记阵列,提供高密度的遗传信息。然而,对原始基因型的遗传分析可能由于单核苷酸多态性分析的缺陷或错误的基因型解释而导致虚假或不可靠的结果。在这里,我们介绍了一个开源的R包stuart,它可以分析原始基因分型数据,根据信息性、孟德尔遗传模式和与亲代基因型的一致性来筛选单核苷酸多态性标记。这个包的功能提供了一个管理管道和格式适当的遗传分析与R/qtl包。可以从https://gitlab.pasteur.fr/mouselab/stuart/获得Stuart的详细文档。
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