Name: grimm

Owner: NMDP/Be The Match Bioinformatics Research

Description: GRIMM: Graph IMputation and Matching for HLA Genotypes

Created: 2018-02-14 16:50:11.0

Updated: 2018-02-14 17:19:59.0

Pushed: 2018-02-14 17:23:26.0

Homepage: null

Size: 12668

Language: Python

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GRIMM: Graph IMputation and Matching for HLA Genotypes

Graph-based imputation and matching

| Subdirectory | Description | | :————– | :———- | | graph_generator | Python code to generate (haplotype frequency) CSV files which can be imported into Neo4j | | gl_impute | Python code for graph-based imputation. | | multi_race_impute | Python code for graph-based imputation | | validation | Code for validation of components of this repository |


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.

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.