Integrate multiple ENCODE data types (RNA-seq, ATAC-seq, Histone ChIP-seq, TF ChIP-seq) for a tissue/cell type to build a comprehensive regulatory landscape. Use when the user wants to answer "what are the enhancers, promoters, and regulatory elements active in my tissue, and which transcription factors control them?" by layering expression, chromatin accessibility, histone marks, and TF binding data. Follows the Mawla et al. 2023 framework for cross-assay integration of islet cell type-specific data. Handles chromatin state annotation (ChromHMM), enhancer-gene linkage, TF motif enrichment, and cell type-specific regulatory element identification. Use for ANY multi-omic analysis, enhancer discovery, regulatory network construction, or epigenomic characterization using ENCODE data.
$npx -y skills add ammawla/encode-toolkit --skill multi-omics-integrationInstalls into the current project.
Run `npx skills use "https://github.com/ammawla/encode-toolkit" --skill "ammawla/encode-toolkit/multi-omics-integration"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ammawla/encode-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/ammawla/encode-toolkit"` and select the relevant skills, then follow their instructions.