PHLAT: Inference of High-Resolution HLA Types from RNA and Whole Exome Sequencing

Area of Science:

• Genomics
• Immunology
• Bioinformatics

Background:

• High-resolution HLA typing is crucial for understanding immune-mediated diseases, vaccination responses, and cancer immunotherapy.
• Advancements in sequencing technologies necessitate efficient tools for HLA type inference.

Purpose of the Study:

• To introduce PHLAT, a computational tool for high-resolution (4-digit) HLA typing.
• To provide guidance on installing, configuring, and executing PHLAT using RNAseq or exome sequencing data.
• To assist users in interpreting PHLAT output and applying best practices.

Main Methods:

• PHLAT utilizes RNAseq or exome sequencing data as input.
• The tool performs high-resolution typing of major class I and class II HLA genes.
• Installation, configuration, execution, and output interpretation are detailed.

Main Results:

• PHLAT enables accurate and high-resolution HLA typing from various sequencing data types.
• The tool facilitates the integration of HLA types with other genomic data.
• Guidance on practical application and interpretation of results is provided.

Conclusions:

• PHLAT is a valuable computational tool for high-resolution HLA typing.
• It supports research in immunology, vaccinology, and cancer immunotherapy.
• The provided documentation ensures effective utilization and interpretation of PHLAT results.