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GRIMM: Graph IMputation and Matching for HLA Genotypes

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GRIMM: Graph IMputation and Matching for HLA Genotypes

Graph-based imputation and matching, a.k.a. new imputation method (NIM).

Subdirectory Description
graph_generator Python code to generate (haplotype frequency) CSV files which can be imported into Neo4j
gl_impute old Python code for graph-based imputation. Still needed for cypher queries (?)
multi_race_ipute Python code for graph-based imputation
validation Code for validation of components of this repository

Walkthrough

1. Generate Initial Graph

Follow Graph Generation to generate haplotype frequency CSV files and import to Neo4j.

2. Perform Imputation

Follow Imputation directions to produce imputation results from frequency files.

3. Perform Matching

Follow Match Validation to perform matching and compare against consensus results.

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