MAGERI

MAGERI identifies and quantifies ultra-rare genetic variants from unique molecular identifier (UMI)-tagged targeted high-throughput resequencing data.

Key Features:

• Efficient Handling of UMI-Based Analysis: Processes unique molecular identifier (UMI)-tagged sequencing data to enable precise identification and quantification of ultra-rare variants.
• High-Fidelity Mutation Profiles: Generates high-fidelity mutation profiles by leveraging UMIs to reduce sequencing and amplification errors in targeted high-throughput resequencing.
• Robustness and Benchmarking: Demonstrates robustness and efficiency through benchmarking on gold-standard biological samples with known variant frequencies.
• Versatility Across Sample Types and Protocols: Accurately processes tumor DNA and viral RNA, including cell-free DNA from tumor patient blood samples, across three different UMI-based protocols.
• Use of Public and Gold-Standard Datasets: Utilizes publicly available UMI-encoded datasets and gold-standard biological samples for validation and performance assessment.
• Sensitive Rare Variant Calling and Quantification: Performs sensitive calling and quantification of ultra-rare genetic variants in complex DNA and RNA samples.

Scientific Applications:

• Cancer diagnostics: Detects and quantifies ultra-rare variants in tumor DNA and cell-free DNA to support studies of tumorigenesis and development of targeted therapies.
• Viral RNA analysis: Identifies ultra-rare variants in viral RNA samples for applications that require detection of low-frequency viral mutations.
• Genomic research and clinical diagnostics: Supports genomic studies and clinical diagnostics that require reproducible detection of low-frequency variants from UMI-tagged sequencing data.

Methodology:

Computational pipeline processing UMI-tagged reads with validation and performance assessment using publicly available UMI-encoded datasets and gold-standard biological samples with known variant frequencies to produce reliable variant calls.