MINTmap

MINTmap identifies and quantifies transfer RNA fragments (tRFs) derived from precursor and mature tRNAs in RNA-Seq data to enable precise measurement of tRF abundances for studies of their regulatory roles.

Key Features:

• Deterministic identification: Performs rapid, deterministic, and comprehensive identification of tRFs from sequencing data.
• Quantification: Calculates raw and normalized abundances of identified tRFs.
• False-positive flagging: Identifies tRF candidates that may originate outside the typical tRNA space and flags them as candidate false positives.
• Performance: Demonstrates higher sensitivity and specificity than other methods while maintaining exceptional processing speed for RNA-Seq data.
• tRF-specific handling: Accounts for the unique sequence characteristics and repetitive nature of tRFs compared to microRNAs or messenger RNAs.

Scientific Applications:

• Regulatory role studies: Enables precise quantification of tRFs for investigations into their regulatory roles across biological contexts.
• Biogenesis characterization: Supports analysis of tRFs derived from precursor and mature tRNAs to study their origins and processing.

Methodology:

Performs rapid, deterministic, and comprehensive identification of tRFs and calculates raw and normalized abundances of identified tRFs.