modtector

Modtector extracts modification signals from aligned sequencing data through unified dual-signal recognition, enabling large-scale epitranscriptomic analysis with significantly reduced computational complexity.

Key Features:

• Unified dual-signal extraction: Integrates mutation and stop signal recognition within a single framework.
• Count-then-correct approach: Processes both mutation and stop signals to reduce computational complexity.
• High performance: Achieves multi-fold speed improvement over existing tools, particularly for large-genome, high-coverage datasets.

Scientific Applications:

• RNA epitranscriptomic modification analysis: Enables efficient mining of modification signals from mapped sequencing reads.
• Structural feature analysis: Supports analysis of RNA structural features from aligned sequencing data.
• Large-scale and single-cell data analysis: Handles increasing sequencing data volumes and advances in single-cell technologies.

Methodology:

Modtector employs a count-then-correct approach to handle both mutation and stop signals from aligned sequencing data.