2018
DOI: 10.1007/s11032-018-0844-8
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snpReady: a tool to assist breeders in genomic analysis

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Cited by 121 publications
(95 citation statements)
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“…Population genetic analysis of SNP marker data was done in R studio (v. 1.1.463) interface in R statistical software (v. 3.6.3) by application of various predesigned packages [ 30 , 31 ]. Marker minor allele frequency (MAF), polymorphic information content (PIC), and, effective population size (N e ) was calculated using SnpReady (v. 0.9.6) R package [ 32 ]. Calculation of the genetic characteristics of accessions, i .…”
Section: Methodsmentioning
confidence: 99%
“…Population genetic analysis of SNP marker data was done in R studio (v. 1.1.463) interface in R statistical software (v. 3.6.3) by application of various predesigned packages [ 30 , 31 ]. Marker minor allele frequency (MAF), polymorphic information content (PIC), and, effective population size (N e ) was calculated using SnpReady (v. 0.9.6) R package [ 32 ]. Calculation of the genetic characteristics of accessions, i .…”
Section: Methodsmentioning
confidence: 99%
“…To improve the efficiency of phasing and imputation, we considered genotyping data of all available bovine animals in the in-house database, which includes a large number of pairs and trios from other projects. Genome-wide relationships between individuals were estimated using a unified additive relationship (UAR) matrix [40] implemented in the R package snpReady [41] and applied to 46,678 SNP genotypes of 3457 animals. Diversity, phylogeny and population structure analyses require samples of representative and least related animals in each breed.…”
Section: Haplotyping and Unified Additive Relationships (Uar)mentioning
confidence: 99%
“…Additionally, all heterozygous loci that remained in the data were considered as missing values. Then, all the missing values in the genotypic matrix were imputed [24]. The residual heterozygosity was considered as a missing value because of the presence of chimerism in D 0 cells after artificial chromosome doubling during DH in maize [13,14].…”
Section: Methodsmentioning
confidence: 99%
“…Quality control, conversion of SNP markers into numerical algorithms and imputation of missing values were carried out by the raw.data function of snp Ready package [24] of R software 3.5.0 (R Development Core Team, 2018). The genotypic data file used in this study is available in ( doi :10.17632/98t8nxgw5s.2 ) .…”
Section: Methodsmentioning
confidence: 99%