Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This constitutes a dense and exhaustive coverage of the soybean genome using a dual genotyping approach combining both GBS and WGS, for a core set of 137 Canadian soybean lines.The entire panel was characterized via 56K GBS-derived SNPs. A Canadian soybean reference panel (102 lines, of which 56 were also present in the association panel) of 4.3M WGS-derived SNPs was used to perform imputation of untyped loci in the first catalogue. This led to a final catalogue of 2.18M SNPs (MAF ≥ 0.05) for a mean density of 1 SNP every 435 bp across the soybean genome.
SoyaGen: Improving yield and disease resistance in short-season soybean
Genome CanadaFind out more...