Galru

Galru identifies spoligotypes of Mycobacterium tuberculosis directly from uncorrected long-read sequencing data (Nanopore and PacBio) to enable rapid subspecies classification.

Key Features:

• Long-Read Compatibility: Processes uncorrected long-read sequences, including Nanopore and PacBio reads, for spoligotyping of Mycobacterium tuberculosis.
• Single-Read Detection: Determines spoligotype from as little as a single long read, enabling near real-time typing during sequencing.
• Performance: Produces spoligotype results with performance equivalent to state-of-the-art short-read spoligotyping software.

Scientific Applications:

• Epidemiological Studies: Provides spoligotype data to support population-level analyses of Mycobacterium tuberculosis strain distribution.
• Outbreak Tracking: Facilitates outbreak investigations by enabling rapid identification of strain-specific spoligotypes.
• Clinical Diagnostics: Supplies rapid subspecies classification information useful for clinical decision-making regarding Mycobacterium tuberculosis.
• Public Health Response: Enables timely detection of circulating strains to inform public health interventions.

Methodology:

Analyzes uncorrected long reads using computational algorithms to extract spoligotype information without requiring read correction or assembly.