bio-clinical-databases-hla-typing

What problem does it solve?

HLA typing from NGS data is essential for transplant matching and pharmacogenomic screening, but many clinicians and researchers lack integrated workflows to call and interpret HLA alleles across data types.

Core Features & Use Cases

• End-to-end HLA typing: call HLA-A, HLA-B, HLA-C (and optionally Class II loci with other tools) from WES/WGS or RNA-seq data.
• Tool-agnostic parsing: parse OptiType, HLA-HD, or arcasHLA outputs into standardized four-field alleles.
• Use Case: A transplant team can quickly generate a report showing patient HLA alleles for matching and drug-response screening.

Quick Start

Run OptiType on a WES or RNA-seq dataset to obtain four-field HLA-A, B, and C calls.