REW-ISA

REW-ISA identifies local functional blocks (LFBs) in N6-methyladenosine (m6A) methylation profiles using RNA expression-weighted iterative analysis.

Key Features:

• RNA Expression-Weighted Analysis: Prioritizes m6A sites by RNA expression level to weight methylation signals and enhance biological relevance.
• Iterative Search Strategy: Uses threshold-based iterative algorithms to detect local functional blocks (LFBs) in m6A methylation data.
• MeRIP-Seq Compatibility: Analyzes MeRIP-Seq data to identify hyper- or hypo-methylated sites across experimental conditions.
• Enrichment Analysis: Reveals LFBs enriched for m6A methyltransferases (e.g., METTL3, METTL14, WTAP, KIAA1429).

Scientific Applications:

• m6A Regulatory Insights: Identifies condition-specific LFBs linked to gene regulation and disease mechanisms.

Methodology:

Applies RNA expression-weighted, threshold-based iterative algorithms to MeRIP-Seq data to detect hyper- and hypo-methylated local functional blocks (LFBs) in m6A methylation profiles.