FFW

The software tool "Fast Functional Wavelet" (FFW) is a computational tool that improves upon the wavelet-based method known as WaveQTL. WaveQTL was initially developed to identify DNase I hypersensitivity quantitative trait loci (dsQTL) and is recognized for its powerful analytical capabilities. However, its reliance on permutations to evaluate the significance of associations poses computational intensity and speed challenges. FFW addresses these challenges by incorporating a method that significantly boosts computational efficiency.

Features:

- Computational Efficiency: FFW substantially increases computational speed by avoiding the computationally intensive permutations required by WaveQTL, opting instead for simulation-based estimations.

- Accuracy and Power: It satisfactorily controls Type I error and demonstrates good power in detecting differentially methylated regions, showcasing its reliability and effectiveness.