CSA

CSA performs comprehensive processing and analysis of ChIP-seq (ChIP + NGS) data to identify protein–DNA interactions and downstream features such as motifs and pathway associations.

Key Features:

• Comprehensive workflow: End-to-end processing including mapping of NGS reads, quality control, peak calling, and downstream analysis.
• Customization options: Support for custom workflows to accommodate different experimental designs and analysis requirements.
• Visualization: Generation of visual outputs at analysis steps including mapping, peak calling, motif finding, and pathway analysis results.
• Adaptability to dataset types: Support for diverse ChIP-seq dataset types and experimental conditions.
• Differential analysis: Detection of differences in ChIP signals between ChIP samples and controls to identify absolute binding sites.
• Validation: Demonstrated functionality through two case studies completing the full ChIP-seq analysis procedure.

Scientific Applications:

• Gene regulation studies: Identification of protein–DNA interactions relevant to transcriptional regulation.
• Epigenetics research: Analysis of ChIP-seq data to investigate chromatin-associated phenomena and regulatory states.
• Transcription factor binding studies: Detection and comparative analysis of transcription factor binding sites and occupancy.

Methodology:

Mapping of NGS reads, quality control, peak calling, motif finding, pathway analysis, downstream analysis, and differential analysis comparing ChIP samples and controls to identify binding sites.