midasHLA

midasHLA transforms and statistically analyzes immunogenetics data to bridge immunogenetic variation inference with discoveries in T cell, Natural Killer cell, and disease biology.

Key Features:

• HLA Allele and KIR Type Input Processing: Accepts HLA alleles and KIR types as input data formats.
• Biological Variable Transformation: Converts input data into biologically meaningful variables for downstream analysis.
• HLA Amino Acid Fine Mapping: Enables fine mapping of amino acid positions within HLA molecules.
• HLA Evolutionary Divergence Analysis: Supports analysis of evolutionary divergence between HLA alleles.
• KIR Gene Presence Analysis: Facilitates analysis of KIR gene presence patterns.
• HLA-KIR Interaction Analysis: Incorporates validated HLA-KIR interactions into analytical workflows.
• Statistical Association Workflows: Performs comprehensive statistical association analyses with phenotypes of diverse measurement scales.

Scientific Applications:

• T Cell Biology Research: Supports discovery of relevant biological relationships related to T cell biology through immunogenetic variation analysis.
• Natural Killer Cell Biology Research: Enables discoveries related to Natural Killer cell biology via KIR and HLA-KIR interaction analysis.
• Disease Biology Research: Facilitates disease biology discoveries by linking immunogenetic variation to phenotypic associations.

Methodology:

Data transformation methods convert HLA alleles and KIR types into biologically meaningful variables; statistical association analysis workflows are applied to phenotypes of diverse measurement scales.