Genomic Intelligence — DNA Sequence Models
Genomic Intelligence (GI) serves transformer DNA language models over six sequence-analysis tasks on managed GPUs. Give it a gene symbol, a genomic region, or a DNA/FASTA sequence; it returns structured predictions — promoter regions, splice sites, enhancer activity, chromatin state, expression (log TPM), and de-novo gene annotation. Nothing runs locally: no model weights, no GPU, no heavy Python stack. It is a thin client over a hosted, versioned inference API.
Official docs: docs.genomicintelligence.ai ·
REST contract at api.genomicintelligence.ai/v1/openapi.json ·
hosted MCP server at https://mcp.genomicintelligence.ai/mcp
When to use this skill
Use GI when the user has DNA and wants a model prediction:
- Find promoters in a genomic region (
promoter) - Predict splice donor/acceptor sites (
splice) - Score enhancer activity — developmental & housekeeping (
enhancer) - Annotate chromatin state across hundreds of tracks (
chromatin) - Predict expression as log(TPM+1) from a sequence + cell-type c…
