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At Cornell a subset of 4940 SNPs were filtered based on call rate (80%) from 5274 SNPs that passed Illumina's QC.
The remaining BovineSNP50 genotypes were filtered on call rate ≥85% which left a total of 52,942 SNPs.
All samples included in our analysis had passed standard sample level QC (based on call rate, heterozygosity, relatedness, ethnicity and gender discrepancies).
– Impact on call rate The call rate of a method is the proportion of loci where the method provided a genotyping call, regardless of its correctness.
After filtering SNPs based on call rate, allele frequency and Hardy-Weinberg equilibrium, and imputing 0.80% of missing genotypes, 449 364 loci were available for the GWAS.
The first step involves calling across sample, and then selecting a set of possibly poorly called SNPs (based on call rate and minor allele frequency) to call using across SNP information.
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Of samples in Batches 1 and 2, 6 were excluded based on call rates, and one failed bisulfite conversion; in Batch 3, 10 samples were removed following quality control (9 samples failed the bisulfite conversion, one sample with low mean methylation beta value across probes).
Table S1 summarizes information on call rates per mtSNP.
SNPs were filtered based on call rates (<90%).
Quality control was performed with snpQC [ 29] and the data was filtered based on call rates of markers and animals over 95%%, a median GC score for markers over 0.6, heterozygosity within three standard deviations from other SNPs and deviation from Hardy-Weinberg equilibrium for a cut-off P-value of 10−16.
Apart from this, there was no significant effect of mate guarding on any of the other call parameters and also not on calling rate (T + = −4.05, N = 5, P = 0.813; Table 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com