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Use when running CAUSE (Causal Analysis Using Summary Effect estimates) for Mendelian randomization with GWAS summary statistics. CAUSE distinguishes causal effects from correlated and uncorrelated pl
Use with AI
Install the MCP server or CLI to instantly fetch CAUSE documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/cause
CNVpytor — Python tool for copy number variation (CNV) detection from whole-genome sequencing (WGS) BAM/CRAM files. Analyzes read depth signals with adjustable bin sizes, calls deletions and duplicati
2 shared topics • 2 shared operations
COLOC (coloc) -- R package for Bayesian colocalization analysis of genetic associations. Tests whether two traits share a causal variant at a genomic locus using GWAS summary statistics. Implements co
2 shared topics • 2 shared operations
GREML (GCTA) — genome-based restricted maximum likelihood analysis for SNP heritability estimation, genetic correlation, mixed linear model association (MLMA), and COJO conditional analysis. Use when
2 shared topics • 2 shared operations
GWAS Catalog — EBI/NHGRI curated repository of genome-wide association study summary statistics, significant SNP-trait associations, and ancestry metadata. Query trait-SNP associations, download GWAS
2 shared topics • 2 shared operations
SuSiE (Sum of Single Effects) — R package for Bayesian variable selection and fine-mapping of GWAS loci. Fits a sparse regression model to identify credible sets of likely causal variants with posteri
2 shared topics • 2 shared operations