spikChIP

spikChIP performs normalization of Chromatin Immunoprecipitation sequencing (ChIP-seq) data using exogenous spike-in chromatin and a local regression approach to enable accurate genome-wide comparison of chromatin interactions across cell- and disease-specific conditions.

Key Features:

• Exogenous Spike-in Normalization: Uses exogenous spike-in chromatin as an internal reference to control biological and experimental variability in ChIP-seq experiments.
• Local Regression Strategy: Applies a local regression-based normalization to adjust signal using spike-in material while addressing non-linear biases.
• Minimization of Overcorrection: Specifically minimizes overcorrection of non-occupied genomic regions to preserve true absence of signal.
• Versatility Across Proteins: Supports normalization for both histone and non-histone chromatin proteins.
• Reproducibility and Accuracy: Improves quantitative accuracy and reproducibility for comparative genome-wide ChIP-seq analyses across conditions.

Scientific Applications:

• Comparative ChIP-seq Analysis: Enables accurate comparison of chromatin interactions across different cell types or disease conditions.
• Chromatin Modification Dynamics: Facilitates quantitative assessment of histone and non-histone chromatin protein changes and chromatin modification dynamics.

Methodology:

Integration of exogenous spike-in chromatin controls followed by normalization with a local regression approach to mitigate sequencing noise while preserving non-occupied genomic regions.