RCADE

RCADE: C2H2-ZF Transcription Factor Binding Model Identification

RCADE integrates a DNA recognition code specific to C2H2-ZF proteins with ChIP-seq data to predict genuine DNA binding preferences and identify true transcription factor binding motifs, including within repetitive genomic regions.

Key Features:

• DNA Recognition Code Integration: Applies a C2H2-ZF-specific DNA recognition code to predict intrinsic DNA binding preferences.
• ChIP-seq Data Integration: Combines recognition code predictions with ChIP-seq data to identify true binding motifs and filter non-targeted motifs.
• Endogenous Retroelements Analysis: Distinguishes genuine binding sites in regions enriched with endogenous retroelements despite high sequence similarity.
• Generalizable Binding Models: Identifies robust binding models from peaks located within repetitive genomic regions.

Scientific Applications:

• Transcription Factor Research: Enables accurate identification of C2H2-ZF transcription factor binding sites for gene regulation studies.
• Genomic Regulatory Analysis: Supports analysis of regulatory elements within repeat-rich and retroelement-enriched genomic regions.

Methodology:

RCADE integrates a C2H2-ZF DNA recognition code with ChIP-seq data to prioritize authentic binding motifs, filtering sequence similarity artifacts and resolving transcription factor binding preferences in repetitive genomic landscapes.