Every method, documented
Open scientific documentation for the analytical methods running inside SEED. We don't hide the math: every module links to the formulas, the seminal references, and when to (and when not to) use it.
Genome-Wide Association Studies (GWAS)
Identify SNPs significantly associated with a phenotype across the genome, with proper multiple-testing correction.
Read documentationGenomic Selection (GBLUP, BayesB)
Predict the genetic merit of unphenotyped plants from their genotype, with cross-validated prediction accuracy.
Read documentationPopulation Structure (PCA & ADMIXTURE)
Decompose your germplasm into ancestral subpopulations before GWAS or selection.
Read documentationMulti-Environment Trials (GxE, AMMI, Finlay–Wilkinson)
Decompose genotype-by-environment interaction so you can ship cultivars that hold up across locations.
Read documentationMulti-Trait Selection Index
Rank parents by a weighted combination of standardized traits — pick the right crosses.
Read documentationGene Annotation (Ensembl Plants)
Turn a list of top SNP hits into named genes with biological context.
Read documentationEnvironmental Intelligence (GDD, Heat & Drought)
Pull real historical weather and compute crop-relevant agroclimatic indicators.
Read documentationData Quality Control (Missingness, MAF, HWE)
Catch bad markers and bad samples before they corrupt downstream analysis.
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