Use when working with SparsePro for GWAS fine-mapping and causal variant identification. Sparse variational inference framework that computes posterior inclusion probabilities (PIPs) and credible sets
Use with AI
Install the MCP server or CLI to instantly fetch SparsePro documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sparsepro
Use when performing Bayesian fine-mapping of GWAS loci with DAP-G (Distributed Adaptive Posterior Sampling with Genomic annotations). DAP-G computes posterior inclusion probabilities (PIPs) and credib
1 shared topic • 3 shared operations
eCAVIAR — GWAS and eQTL colocalization tool that computes the Colocalization Posterior Probability (CLPP) for each variant to identify shared causal variants across two traits. Extends CAVIAR to joint
1 shared topic • 3 shared operations
gwasglue — R package that connects IEU Open GWAS summary data to downstream statistical genetics analysis tools. Bridges GWAS summary statistics to Mendelian randomization (TwoSampleMR), colocalisatio
1 shared topic • 3 shared operations
Use when performing GWAS fine-mapping with PAINTOR (Probabilistic Annotation INTegratOR). Computes posterior inclusion probabilities (PIPs) for causal variants by integrating summary statistics (Z-sco
1 shared topic • 3 shared operations
Use when working with PolyFun — functionally-informed polygenic fine-mapping from GWAS summary statistics. Computes per-SNP heritability priors using S-LDSC with functional annotations, then runs SuSi
1 shared topic • 3 shared operations