REW-ISA

"REW-ISA" (RNA Expression Weighted Iterative Signature Algorithm) is a computational model to uncover methylation patterns in MeRIP-Seq data. This tool addresses the need for efficient computational approaches to analyze methylation data, considering the high costs associated with wet laboratory experiments. By leveraging RNA expression levels as weights, REW-ISA prioritizes sites with higher expression, aiming to identify local functional blocks (LFBs) where sites are hyper-methylated or hypo-methylated simultaneously under specific conditions.

Key Features and Functionalities:

RNA Expression Weighting: Unique to REW-ISA, the RNA expression levels of each site are used as weights. This allows the algorithm to adjust the significance of sites based on their expression level, ensuring that the analysis focuses on biologically relevant methylation sites.

- Iterative Search Strategy: The tool employs an iterative search strategy, utilizing thresholds for rows and columns to find LFBs within MeRIP-Seq data efficiently. This iterative process allows REW-ISA to dynamically refine its search dynamically, improving the accuracy of detected methylation patterns.

- Identification of Local Functional Blocks: REW-ISA is designed to identify LFBs, revealing methylation patterns across specific conditions. This capability is crucial for understanding the functional implications of methylation in various biological contexts.