ncbi-datasets-api

name	ncbi-datasets-api
description	Access genomes, genes, and taxonomy data via NCBI Datasets v2 API
metadata	{"openclaw":{"emoji":"🧬","category":"domains","subcategory":"biomedical","keywords":["NCBI","genome data","gene data","taxonomy","RefSeq","GenBank"],"source":"https://www.ncbi.nlm.nih.gov/datasets/"}}

NCBI Datasets v2 API

Overview

NCBI Datasets is the modern API for accessing NCBI's genomic, gene, and taxonomic data — replacing older E-utilities for sequence data retrieval. It provides clean REST endpoints for genome assemblies, gene records, taxonomy trees, and sequence downloads. Covers all organisms in NCBI's databases including RefSeq and GenBank. Free, no authentication required.

API Endpoints

Base URL

https://api.ncbi.nlm.nih.gov/datasets/v2

Genome Data

# Search genome assemblies by organism
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/taxon/9606?page_size=5"

# Get assembly by accession
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000001405.40"

# Download genome package
curl -o genome.zip \
  "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000001405.40/download?\
include_annotation_type=GENOME_FASTA,GENOME_GFF"

Gene Data

# Search genes by symbol
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/gene/symbol/TP53/taxon/human"

# Get gene by NCBI Gene ID
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/gene/id/7157"

# Search genes by keyword
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/gene/search?query=BRCA&taxon=9606&page_size=20"

# Download gene data package
curl -o gene.zip \
  "https://api.ncbi.nlm.nih.gov/datasets/v2/gene/id/7157/download?include_annotation_type=FASTA_GENE"

Taxonomy

# Get taxonomy info
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/taxonomy/taxon/9606"

# Search taxonomy by name
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/taxonomy/name_report?taxon_query=Homo+sapiens"

# Get taxonomy tree (subtree)
curl "https://api.ncbi.nlm.nih.gov/datasets/v2/taxonomy/taxon/9443/subtree"

Query Parameters

Parameter	Description	Example
page_size	Results per page	page_size=20
page_token	Pagination token	From previous response
include_annotation_type	Download content	GENOME_FASTA, GENOME_GFF, PROT_FASTA
filters.assembly_level	Assembly quality	complete_genome, chromosome
filters.refseq_only	RefSeq assemblies	true

Response Structure (Gene)

{
  "genes": [
    {
      "gene": {
        "gene_id": 7157,
        "symbol": "TP53",
        "description": "tumor protein p53",
        "taxname": "Homo sapiens",
        "tax_id": 9606,
        "type": "PROTEIN_CODING",
        "chromosomes": ["17"],
        "genomic_ranges": [
          {
            "accession_version": "NC_000017.11",
            "range": [{"begin": 7668402, "end": 7687550, "orientation": "minus"}]
          }
        ],
        "nomenclature": {
          "symbol": "TP53",
          "name": "tumor protein p53"
        },
        "annotations": [
          {"release_date": "2024-03-15", "release_name": "GRCh38.p14"}
        ]
      }
    }
  ]
}

Python Usage

import requests
import zipfile
import io

BASE_URL = "https://api.ncbi.nlm.nih.gov/datasets/v2"


def search_genes(query: str, taxon: str = "human",
                 page_size: int = 20) -> list:
    """Search NCBI genes by keyword."""
    resp = requests.get(
        f"{BASE_URL}/gene/search",
        params={"query": query, "taxon": taxon,
                "page_size": page_size},
    )
    resp.raise_for_status()
    data = resp.json()

    results = []
    for item in data.get("genes", []):
        gene = item.get("gene", {})
        results.append({
            "gene_id": gene.get("gene_id"),
            "symbol": gene.get("symbol"),
            "description": gene.get("description"),
            "type": gene.get("type"),
            "chromosomes": gene.get("chromosomes", []),
            "taxname": gene.get("taxname"),
        })
    return results


def get_gene(gene_id: int) -> dict:
    """Get detailed gene information."""
    resp = requests.get(f"{BASE_URL}/gene/id/{gene_id}")
    resp.raise_for_status()
    genes = resp.json().get("genes", [])
    return genes[0].get("gene", {}) if genes else {}


def search_genomes(taxon: str, refseq_only: bool = True,
                   page_size: int = 10) -> list:
    """Search genome assemblies by organism."""
    params = {"page_size": page_size}
    if refseq_only:
        params["filters.refseq_only"] = "true"

    resp = requests.get(
        f"{BASE_URL}/genome/taxon/{taxon}",
        params=params,
    )
    resp.raise_for_status()
    data = resp.json()

    results = []
    for report in data.get("reports", []):
        assembly = report.get("assembly_info", {})
        stats = report.get("assembly_stats", {})
        results.append({
            "accession": report.get("accession"),
            "name": assembly.get("assembly_name"),
            "level": assembly.get("assembly_level"),
            "organism": report.get("organism", {}).get("organism_name"),
            "total_length": stats.get("total_sequence_length"),
            "contig_n50": stats.get("contig_n50"),
        })
    return results


# Example: search cancer-related genes
genes = search_genes("tumor suppressor", taxon="human")
for g in genes[:5]:
    print(f"{g['symbol']} (ID: {g['gene_id']}): {g['description']}")
    print(f"  Type: {g['type']} | Chr: {', '.join(g['chromosomes'])}")

# Example: find reference genomes
genomes = search_genomes("Mus musculus", refseq_only=True)
for g in genomes[:3]:
    print(f"{g['accession']}: {g['name']} ({g['level']})")
    print(f"  Length: {g['total_length']:,} bp")

CLI Tool

NCBI also provides a command-line tool:

# Install
curl -o datasets "https://ftp.ncbi.nlm.nih.gov/pub/datasets/command-line/v2/linux-amd64/datasets"
chmod +x datasets

# Download human genome
./datasets download genome taxon "Homo sapiens" --reference --include genome

# Download gene data
./datasets download gene gene-id 7157 --include gene

References

• NCBI Datasets
• Datasets API Reference
• Datasets CLI