AASRA

AASRA annotates small noncoding RNAs (sncRNAs) from deep sequencing (sncRNA-Seq) data using an anchor alignment-based approach to deliver comprehensive annotation and variant identification.

Key Features:

• Simultaneous annotation: Annotates a wide array of known sncRNA species concurrently.
• Variant recognition: Identifies variants within sncRNAs present in sequencing reads.
• Mature vs. precursor distinction: Distinguishes between mature microRNAs (miRNAs) and their precursor sequences.
• Anchor alignment-based mapping: Uses an anchor alignment approach for aligning sequencing reads to known sncRNA references to improve annotation throughput and accuracy.

Scientific Applications:

• Functional Genomics: Characterizing roles of different sncRNA species in gene regulation.
• Disease Research: Identifying sncRNA biomarkers associated with diseases such as cancer and neurological disorders.
• Evolutionary Studies: Investigating conservation and divergence of sncRNAs across species.

Methodology:

AASRA employs an anchor alignment-based approach to align sequencing reads with known sncRNA databases and maps sequencing data against a comprehensive library of sncRNAs, enhancing annotation speed and accuracy and facilitating detection of novel variants.