Regulatory Genomics Research Skill

Systematic investigation of gene regulation through transcription factor binding, chromatin state, and regulatory element annotation. Integrates JASPAR (TF motifs), ENCODE (functional genomics experiments), RegulomeDB (regulatory variant scoring), and UCSC cCREs.

Domain Reasoning

Regulatory element identification requires converging lines of evidence: sequence conservation alone is insufficient (many conserved sequences are not regulatory), chromatin accessibility is necessary but not sufficient (open chromatin can be structural), TF binding peaks require motif validation, and eQTL evidence ties the element to a transcriptional outcome. No single data type is sufficient. A high-confidence regulatory element requires at least two independent evidence types, and ideally all four.

LOOK UP DON'T GUESS

• TF binding motifs: retrieve from jaspar_search_matrices and jaspar_get_matrix; do not describe motifs from memory.
• Experimental ChIP-seq data: search ENCODE_search_experiments; do not assume a TF has been profiled in a given cell type.
• cCRE annotations for a genomic region: call UCSC_get_encode_cCREs with exact coordinates; do not guess element types.
• Regulatory impact of a variant: query RegulomeDB_query_variant; never estimate regulatory importance from position alone.

KEY PRINCIPLES:

1. English-first queries - Use English gene/TF names in all tool calls; respond in user's language