{ "ok": true, "resource": { "id": "RES_C90A0E168F33", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/genomic-intelligence", "name": "genomic-intelligence", "summary_en": "Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.", "summary_zh": "使用Genomic Intelligence托管的Transformer DNA语言模型，直接从DNA序列预测调控特征、基因结构和表达——无需本地GPU或模型权重。通过REST API和托管的MCP服务器（无密钥公共演示）提供六项任务：启动子区域、剪接供体/受体位点、增强子活性、染色质状态、序列到表达（log TPM）以及从头基因注释，外加一个先找基因再预测表达的复合工作流。当用户拥有基因符号、基因组区域或DNA/FASTA序列并希望获得这些预测，或提及Genomic Intelligence、genomicintelligence.ai、api.genomicintelligence.ai或mcp.genomicintelligence.ai时使用。", "description_en": "This skill provides access to Genomic Intelligence's hosted transformer DNA language models for sequence-based genomics predictions. It supports six tasks over a REST API and a hosted MCP server: promoter region prediction, splice donor/acceptor site prediction, enhancer activity scoring, chromatin state annotation, sequence-to-expression prediction (log TPM), and de-novo gene annotation. A composite workflow finds genes in a region and predicts expression for each. The skill is designed for research and development use, not clinical or diagnostic decisions. It requires network access and Python 3.10+ with the requests library for the REST path. The REST /v1 API requires a GI_API_KEY (a gi_ bearer), while the hosted MCP server at mcp.genomicintelligence.ai/mcp works keyless against a capped public demo quota, with an optional key for higher quota. 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