integrative-analysislisted

# Integrative Analysis of ENCODE Data ## When to Use - User wants to combine multiple ENCODE experiments for cross-dataset analysis - User asks about "integrating", "combining", or "comparing" experiments - User wants to overlay histone marks with accessibility or expression data - User needs to plan a multi-omic analysis using ENCODE data - User asks about peak overlap, differential binding, or signal correlation - User wants to perform ChromHMM segmentation using ENCODE histone data Help the user combine multiple ENCODE experiments for cross-dataset or multi-omic analysis. This skill covers the full integration workflow: from defining the question and selecting compatible experiments, through choosing the right integration strategy and tools, to validating results and documenting provenance. ## Literature Foundation | Reference | Journal | Key Contribution | DOI | Citations | |-----------|---------|-----------------|-----|-----------| | ENCODE Phase 3 (2020) | Nature | Registry of 926,535 candidate cis-regulatory elements; integrative analysis framework across 5,992 experiments | [10.1038/s41586-020-2493-4](https://doi.org/10.1038/s41586-020-2493-4) | ~1,656 | | Gorkin et al. (2020) | Nature | Integrative analysis of 3,158 mouse epigenomes; cross-tissue chromatin state annotation | [10.1038/s41586-020-2093-3](https://doi.org/10.1038/s41586-020-2093-3) | ~301 | | Ernst & Kellis (2012) | Nature Methods | ChromHMM: chromatin state discovery from combinatorial histone mark