srnaloop

srnaloop predicts potential microRNAs (miRNAs) by detecting small RNA hairpin loops in DNA or RNA sequences to enable genome-wide identification of miRNA candidates.

Key Features:

• Sequence conservation and structural similarity: Uses sequence conservation and structural similarity to known miRNAs as primary criteria for prediction.
• Genome-wide prediction: Performs genome-wide searches across long DNA or RNA strings to identify candidate miRNAs.
• C. elegans candidate set: Generated 214 candidate miRNAs in the C. elegans genome.
• Experimental validation: Predictions have been experimentally confirmed for several miRNAs by Northern blotting and PCR.
• miRNA diversity estimation: Computational results estimate that the C. elegans genome may encode between 140 and 300 miRNAs.

Scientific Applications:

• MicroRNA discovery: Supports discovery of novel miRNAs across eukaryotic organisms by predicting candidates based on sequence and structural features.
• Gene regulation studies: Facilitates investigation of gene expression regulation by expanding the set of identified miRNAs for functional study.

Methodology:

Integrates informatic methods that leverage sequence conservation and structural similarity to known miRNAs.