sevenC

sevenC predicts chromatin looping interactions from ChIP-seq data to infer three-dimensional chromosomal architecture and loop-mediated regulatory contacts.

Key Features:

• ChIP-seq Data Utilization: Leverages ChIP-seq signals that arise from protein-DNA cross-linking and coimmunoprecipitation to detect minor signals indicative of spatial proximity between genomic regions.
• CTCF Motif Analysis: Examines genomic regions surrounding CTCF motifs as candidate loop anchors for interaction prediction.
• Predictive Modeling: Integrates correlated ChIP-seq signal profiles with genomic sequence features to predict the interaction status of CTCF motif pairs at loop anchors.

Scientific Applications:

• Genome Structure Analysis: Infers aspects of three-dimensional genome organization relevant to gene regulation.
• Regulatory Sequence Mapping: Predicts spatial interactions between regulatory elements (e.g., enhancers, transcription factor binding sites) and target genes via chromatin loops.
• Epigenetic Studies: Supports analysis of chromatin architecture in studies of protein-DNA interactions and epigenetic effects on gene expression.

Methodology:

Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs (7C) correlates ChIP-seq signal profiles around CTCF motif pairs to infer chromatin looping events, relying on correlated minor ChIP-seq signals produced by protein-DNA cross-linking and coimmunoprecipitation rather than direct contact detection.