Genomic Intelligence

Official15 tools

by genomicintelligence

Hosted DNA language models: promoter, splice, enhancer, chromatin, expression, annotation

MCP Server: ai.genomicintelligence/genomic-intelligence

This MCP server provides access to hosted DNA language models focused on promoter, splice, enhancer, chromatin, expression, and annotation tasks. It exposes functionality through 15 tools, enabling programmatic interaction with these model capabilities for genomic-intelligence workflows.

🛠️ Key Features

Hosted DNA language models for promoter, splice, enhancer, chromatin, expression, and annotation
15 available tools (toolCount: 15)

🚀 Use Cases

Promoter modeling and related genomic intelligence tasks
Splice site modeling and analysis
Enhancer, chromatin, and expression model queries
Genomic annotation workflows using model capabilities

⚡ Developer Benefits

Single server interface for multiple DNA model categories (promoter, splice, enhancer, chromatin, expression, annotation)
Tool-based access across 15 tools for structured usage

Captured live from the server via tools/list.

list_models

List available models for a task. Use to discover model ids before passing one as the `model` argument to a predict tool. The same catalog is also available as the resource `gi://models`.

Parameters1

task

string

required

Task name. One of: promoter, splice, enhancer, chromatin, expression, annotation.

Raw schema

{
  "type": "object",
  "properties": {
    "task": {
      "description": "Task name. One of: promoter, splice, enhancer, chromatin, expression, annotation.",
      "title": "Task",
      "type": "string"
    }
  },
  "required": [
    "task"
  ],
  "title": "list_modelsArguments"
}

fetch_ensembl_sequence

Fetch a gene's reference sequence from Ensembl and store it. Returns a handle ({ref, name, length, preview, ...}). Pass the `ref` to predict_* tools — the bases stay server-side. For expression, use fetch_gene_for_expression instead (it prepares the TSS-centred window that model needs).

Parameters3

gene	string	required	Gene symbol (e.g. 'TP53') or Ensembl ID.
species	string	optional	Species name, e.g. 'human', 'mouse'.
flank_bp	integer	optional	Extra bp added on each side of the gene body.

Raw schema

{
  "type": "object",
  "properties": {
    "gene": {
      "description": "Gene symbol (e.g. 'TP53') or Ensembl ID.",
      "title": "Gene",
      "type": "string"
    },
    "species": {
      "default": "human",
      "description": "Species name, e.g. 'human', 'mouse'.",
      "title": "Species",
      "type": "string"
    },
    "flank_bp": {
      "default": 0,
      "description": "Extra bp added on each side of the gene body.",
      "minimum": 0,
      "title": "Flank Bp",
      "type": "integer"
    }
  },
  "required": [
    "gene"
  ],
  "title": "fetch_ensembl_sequenceArguments"
}

fetch_region

Fetch a genomic region by coordinates from Ensembl and store it. For "find the genes in chr8:127,680,000-127,800,000"-style requests: resolves a coordinate range to reference sequence and returns a handle ({ref, name, length, ...}) to pass to find_genes / predict_* — the bases stay server-side. Plus strand by default, which is what the gene-finder expects. For a gene by name use fetch_ensembl_sequence; for expression use fetch_gene_for_expression.

Parameters4

region	string	required	Genomic coordinates, e.g. 'chr8:127,680,000-127,800,000'. Commas, en/em dashes and '..' are accepted; the 'chr' prefix is optional.
species	string	optional	Species name, e.g. 'human', 'mouse'.
strand	integer	optional	1 = plus (default), -1 = minus. find_genes (gene finding) is plus-oriented — keep 1 for annotation; use -1 only for a strand-sensitive task on a known minus-strand locus.
flank_bp	integer	optional	Extra bp added on each side of the region.

Raw schema

{
  "type": "object",
  "properties": {
    "region": {
      "description": "Genomic coordinates, e.g. 'chr8:127,680,000-127,800,000'. Commas, en/em dashes and '..' are accepted; the 'chr' prefix is optional.",
      "title": "Region",
      "type": "string"
    },
    "species": {
      "default": "human",
      "description": "Species name, e.g. 'human', 'mouse'.",
      "title": "Species",
      "type": "string"
    },
    "strand": {
      "default": 1,
      "description": "1 = plus (default), -1 = minus. find_genes (gene finding) is plus-oriented — keep 1 for annotation; use -1 only for a strand-sensitive task on a known minus-strand locus.",
      "title": "Strand",
      "type": "integer"
    },
    "flank_bp": {
      "default": 0,
      "description": "Extra bp added on each side of the region.",
      "minimum": 0,
      "title": "Flank Bp",
      "type": "integer"
    }
  },
  "required": [
    "region"
  ],
  "title": "fetch_regionArguments"
}

fetch_gene_for_expression

Fetch a gene's sequence prepared for expression prediction. Resolves the gene's TSS via Ensembl and returns the exact TSS-centred window the expression model needs, as a handle to pass to predict_expression(sequence_ref=...).

Parameters2

gene	string	required	Gene symbol (e.g. 'HBB').
species	string	optional	Species name.

Raw schema

{
  "type": "object",
  "properties": {
    "gene": {
      "description": "Gene symbol (e.g. 'HBB').",
      "title": "Gene",
      "type": "string"
    },
    "species": {
      "default": "human",
      "description": "Species name.",
      "title": "Species",
      "type": "string"
    }
  },
  "required": [
    "gene"
  ],
  "title": "fetch_gene_for_expressionArguments"
}

load_demo_sequence

Load a bundled demo reference sequence and return a handle. The server ships one curated, task-correct positive control per task (list them via the gi://sequences resource) — e.g. `expression_hbb_k562` is a ready-to-use K562 expression window for predict_expression. Stores the demo and returns a handle to pass to a predict_* tool: no Ensembl fetch, no quota. Handy for smoke-testing a prediction end-to-end.

Parameters1

name

string

required

Demo name from gi://sequences, e.g. 'expression_hbb_k562', 'promoter_tp53', or 'annotation_hbb_chr11'. A gene token like 'TP53' also resolves.

Raw schema

{
  "type": "object",
  "properties": {
    "name": {
      "description": "Demo name from gi://sequences, e.g. 'expression_hbb_k562', 'promoter_tp53', or 'annotation_hbb_chr11'. A gene token like 'TP53' also resolves.",
      "title": "Name",
      "type": "string"
    }
  },
  "required": [
    "name"
  ],
  "title": "load_demo_sequenceArguments"
}

store_inline_sequence

Store a human-pasted sequence and return a handle to re-use it. For a sequence you've already pasted into the conversation, this gives back a short handle so you can run several tasks on it without re-pasting the bases in each predict_* call. Note that the full sequence still passes through the LLM on THIS call — it does not save context on its own. For large sequences, prefer fetch_ensembl_sequence / fetch_gene_for_expression / load_local_fasta, which acquire the bases server-side and never round-trip them.

Parameters2

sequence	string	required	DNA bases to store and get a handle for.
name	string	optional	Label for this sequence.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "description": "DNA bases to store and get a handle for.",
      "title": "Sequence",
      "type": "string"
    },
    "name": {
      "default": "sequence",
      "description": "Label for this sequence.",
      "title": "Name",
      "type": "string"
    }
  },
  "required": [
    "sequence"
  ],
  "title": "store_inline_sequenceArguments"
}

predict_promoter

Predict promoter regions (G0). Up to 500,000 bp. Returns the {data, meta} envelope: data.regions lists predicted promoters with start/end/score.

Parameters4

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    }
  },
  "title": "predict_promoterArguments"
}

predict_splice

Predict splice donor/acceptor sites (G0 BigBird). Up to 500,000 bp.

Parameters4

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    }
  },
  "title": "predict_spliceArguments"
}

predict_enhancer

Predict enhancer activity (G0 DeepSTARR). Up to 500,000 bp.

Parameters4

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    }
  },
  "title": "predict_enhancerArguments"
}

predict_chromatin

Chromatin annotation across 919 features (G0 DeepSEA). Up to 500,000 bp.

Parameters4

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    }
  },
  "title": "predict_chromatinArguments"
}

predict_expression

Predict a gene's expression from a TSS-centred input window. Expression is cell-type-specific, so `description` (cell type / assay context, e.g. 'K562 cell line') is REQUIRED — the API rejects requests without it. Requires exactly 9,198 bp centred on the TSS; call fetch_gene_for_expression(gene) to get a correctly-prepared handle. For a raw region or whole gene where you don't already have that window, use find_genes_and_predict_expression (it finds the genes for you).

Parameters5

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
description	any	optional	REQUIRED experimental context — cell type / assay / conditions (e.g. 'K562 cell line', 'liver tissue'). Expression is cell-type-specific; the API rejects requests without it.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "REQUIRED experimental context — cell type / assay / conditions (e.g. 'K562 cell line', 'liver tissue'). Expression is cell-type-specific; the API rejects requests without it.",
      "title": "Description"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    }
  },
  "title": "predict_expressionArguments"
}

find_genes

Find genes (transcript intervals) in a genomic region (async, ~8-25s). Gene-finding: detects transcript boundaries (TSS + PolyA) and returns one interval per predicted transcript — start/end, strand, a confidence score, and predicted TSS/PolyA positions (BED-style feature intervals, not free-text notes). Use this for "what genes are here", "find / locate genes", or "annotate this region". Each transcript also carries its type (mRNA/lnc_RNA) and internal exon/intron/CDS structure in `exons`/`introns`/`cds` arrays, plus a browser-ready GFF3 track in `data.formats.gff3`. To get each gene's *expression* from a raw region, use find_genes_and_predict_expression instead — expression needs a per-gene TSS window, so predict_expression cannot run on a whole region. Submits an async job internally. With wait=True (default), blocks and streams progress, then returns the result {data, meta} — it never returns a job_id on this path. (If a generous block ceiling is exceeded it returns a timeout error, not a job handle.) With wait=False (detached), returns {data: {job_id, status: 'submitted'}} immediately — poll it with get_job.

Parameters5

sequence	any	optional	DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.
sequence_ref	any	optional	Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.
sequence_name	string	optional	Label echoed back in the response (ignored when `sequence_ref` is used).
model	any	optional	Optional model id; omit for the task default. See list_models.
wait	boolean	optional	Default True: block and stream progress until the result is ready. Set False for detached mode — returns a job_id immediately to poll with get_job.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases A/C/G/T/N (case-insensitive). Mutually exclusive with `sequence_ref`.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Handle (seq_…) from any acquisition tool (fetch_ensembl_sequence, fetch_region, fetch_gene_for_expression, load_demo_sequence, load_local_fasta, store_inline_sequence). Mutually exclusive with `sequence`.",
      "title": "Sequence Ref"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back in the response (ignored when `sequence_ref` is used).",
      "title": "Sequence Name",
      "type": "string"
    },
    "model": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional model id; omit for the task default. See list_models.",
      "title": "Model"
    },
    "wait": {
      "default": true,
      "description": "Default True: block and stream progress until the result is ready. Set False for detached mode — returns a job_id immediately to poll with get_job.",
      "title": "Wait",
      "type": "boolean"
    }
  },
  "title": "find_genesArguments"
}

find_genes_and_predict_expression

Find genes in a sequence, then predict each gene's expression (composite). Server-side chaining in ONE call: finds genes (transcript intervals, with their TSS) in the sequence, then predicts expression off each discovered TSS in the given experimental context. This is the right tool whenever you want expression for a raw region or sequence — e.g. "find the genes in chr8:… and predict their expression in K562". You cannot call predict_expression on a whole region, because it needs a single per-gene 9,198 bp TSS window; this tool handles that for you. Runs async internally at every size (the annotate stage is slow even for small inputs), so progress always streams. With wait=True (default), blocks and streams progress, then returns the result {data, meta} — it never returns a job_id on this path. With wait=False (detached), returns {data: {job_id, status: 'submitted'}} immediately — poll it with get_job. Because it ends in expression, `description` (cell type / assay context) is REQUIRED.

Parameters5

sequence	any	optional	DNA bases. Mutually exclusive with sequence_ref.
sequence_ref	any	optional	Stored sequence handle. Mutually exclusive with sequence.
description	any	optional	REQUIRED experimental context — cell type / assay / conditions (e.g. 'K562 cell line'), applied to every found gene. The workflow ends in expression, which the API rejects without it.
sequence_name	string	optional	Label echoed back.
wait	boolean	optional	Default True: block and stream progress until the result is ready. Set False for detached mode — returns a job_id immediately to poll with get_job.

Raw schema

{
  "type": "object",
  "properties": {
    "sequence": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "DNA bases. Mutually exclusive with sequence_ref.",
      "title": "Sequence"
    },
    "sequence_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Stored sequence handle. Mutually exclusive with sequence.",
      "title": "Sequence Ref"
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "REQUIRED experimental context — cell type / assay / conditions (e.g. 'K562 cell line'), applied to every found gene. The workflow ends in expression, which the API rejects without it.",
      "title": "Description"
    },
    "sequence_name": {
      "default": "sequence",
      "description": "Label echoed back.",
      "title": "Sequence Name",
      "type": "string"
    },
    "wait": {
      "default": true,
      "description": "Default True: block and stream progress until the result is ready. Set False for detached mode — returns a job_id immediately to poll with get_job.",
      "title": "Wait",
      "type": "boolean"
    }
  },
  "title": "find_genes_and_predict_expressionArguments"
}

get_job

Poll an async job once. Returns the {data, meta} result if complete, a progress envelope if still running, or an error envelope if it failed.

Parameters1

job_id

string

required

Job id from an async tool (find_genes, find_genes_and_predict_expression).

Raw schema

{
  "type": "object",
  "properties": {
    "job_id": {
      "description": "Job id from an async tool (find_genes, find_genes_and_predict_expression).",
      "title": "Job Id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ],
  "title": "get_jobArguments"
}

list_jobs

List the caller's recent async jobs (also available as gi://jobs/recent).

Parameters1

limit

integer

optional

Max number of recent jobs to return.

Raw schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 20,
      "description": "Max number of recent jobs to return.",
      "maximum": 100,
      "minimum": 1,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_jobsArguments"
}

Install

Tools (15)

list_modelsfetch_ensembl_sequencefetch_regionfetch_gene_for_expressionload_demo_sequencestore_inline_sequencepredict_promoterpredict_splice

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://mcp.genomicintelligence.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "genomic-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.genomicintelligence.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

MCP Server: ai.genomicintelligence/genomic-intelligence

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

list_models

fetch_ensembl_sequence

fetch_region

fetch_gene_for_expression

load_demo_sequence

store_inline_sequence

predict_promoter

predict_splice

predict_enhancer

predict_chromatin

predict_expression

find_genes

find_genes_and_predict_expression

get_job

list_jobs

Install

Remote endpoint

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