BLUPF90 suite of programs for mixed model computations, genomic selection, and variance component estimation in animal breeding. Use when working with BLUP/ssGBLUP, genomic EBVs, single-step genomic e
Use with AI
Install the MCP server or CLI to instantly fetch Blupf90 documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/blupf90
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) — fast C++ implementation of density-based clustering algorithms in R. Includes DBSCAN, HDBSCAN, OPTICS/OPTICSXi, LOF outlier detec
1 shared topic • 1 shared operation
REGENIE — whole-genome regression for biobank-scale GWAS. Two-step ridge regression with leave-one-chromosome-out (LOCO) predictions for efficient single-variant and gene-based association testing. Su
1 shared topic • 1 shared operation
MaAsLin 2 (Microbiome Multivariable Association with Linear Models 2) is the bioBakery tool for finding associations between microbial features (taxa, functional pathways, gene families) and sample me
2 shared operations
SAIGE — scalable genome-wide association tests in biobank-scale data using generalized mixed models with saddlepoint approximation. Fits null logistic/linear mixed models with sparse or full GRM to ac
2 shared operations
Use when working with aurora — a machine learning GWAS R package for identifying microbial habitat adaptation genes and autochthonous strain provenance. Implements a Random Forest + random-walk (AUtoc
1 shared topic