fourSynergy

fourSynergy leverages synergies among the existing 4C-seq algorithms r3C-seq, peakC, r.4cker and fourSig to perform improved interaction calling through a weighted voting approach.

Key Features:

• Ensemble algorithm: Combines the existing 4C-seq algorithms r3C-seq, peakC, r.4cker and fourSig.
• Weighted voting approach: Uses weighted voting to perform improved interaction calling.
• Differential interaction calling: Supports differential interaction calling.

Scientific Applications:

• 4C-seq interaction calling: Improves detection of chromatin interactions from 4C-seq data by combining multiple algorithms.
• Differential interaction analysis: Identifies differential chromatin interactions between conditions.

Methodology:

fourSynergy employs a weighted voting approach that leverages synergies among r3C-seq, peakC, r.4cker and fourSig.