Use when working with odgi — the optimized dynamic genome/graph implementation toolkit — for pangenome variation graph manipulation, sorting, visualization, and analysis. Converts GFA graphs to effici
Use with AI
Install the MCP server or CLI to instantly fetch odgi documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/odgi
docker pull biocontainers/odgi:0.9.4Use when estimating SNP heritability, local heritability, or genetic architecture from GWAS summary statistics. Covers per-locus heritability partitioning, total heritability estimation, LD matrix com
2 shared topics • 2 shared operations
IMPUTE5 for genotype imputation from phased haplotypes and a reference panel. Performs fast, accurate imputation using the Li and Stephens hidden Markov model with the PBWT data structure for efficien
2 shared topics • 2 shared operations
Use when performing Mendelian randomization (MR) analyses to estimate causal effects of exposures on outcomes using genetic variants as instrumental variables. Covers two-sample MR, IVW, MR-Egger, wei
2 shared topics • 2 shared operations
rMVP GWAS analysis for plant genomics. Use when running genome-wide association studies, GWAS models (GLM, MLM, FarmCPU), SNP genotype formatting, kinship matrix calculation, population structure PCA,
2 shared topics • 2 shared operations
scikit-allel — Python package for exploratory analysis of large-scale genetic variation data. Provides data structures for genotypes, haplotypes, and allele counts (GenotypeArray, HaplotypeArray, Alle
2 shared topics • 1 shared operation