Threshold-seq

Threshold-seq determines minimum read-count thresholds to distinguish true short RNA signals from sequencing background noise in deep short RNA-Seq datasets, enabling confident identification of microRNAs and small interfering RNAs.

Key Features:

• Threshold determination: Provides a systematic approach to establish read-count thresholds that separate true short RNA signals from background noise.
• Read-count distribution analysis: Analyzes the distribution of read counts across short RNA transcripts to inform threshold selection.
• Statistical threshold calculation: Computes thresholds based on statistical principles to support robust identification of significant RNA molecules.

Scientific Applications:

• Short RNA profiling: Identifies and quantifies microRNAs and small interfering RNAs in deep short RNA-Seq datasets by applying read-count thresholds.
• Signal-versus-noise discrimination: Improves confidence in calling true short RNA expression events, aiding studies of RNA regulatory roles and mechanisms.

Methodology:

Analyzes the distribution of read counts across RNA transcripts within a dataset and calculates a statistical threshold that distinguishes true signals from background noise.