skills/domains/biomedical/ena-sequence-api/SKILL.md
Access nucleotide sequence data from the European Nucleotide Archive
npx skillsauth add wentorai/research-plugins ena-sequence-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The European Nucleotide Archive (ENA) at EMBL-EBI is one of the three global nucleotide sequence databases (with NCBI GenBank and DDBJ). It provides access to raw sequencing reads, assembled sequences, and functional annotations from all organisms. The API supports accession lookup, text search, and bulk data retrieval. Free, no authentication required.
# Search for studies
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=CRISPR+cas9&result=study&limit=20&format=json"
# Search for samples
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=human+gut+microbiome&result=sample&limit=20&format=json"
# Search for runs (sequencing data)
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=RNA-seq+cancer&result=read_run&limit=20&format=json"
# Get record by accession
curl "https://www.ebi.ac.uk/ena/browser/api/xml/PRJEB12345"
# Get in JSON format
curl "https://www.ebi.ac.uk/ena/browser/api/summary/PRJEB12345"
# Get sequence in FASTA
curl "https://www.ebi.ac.uk/ena/browser/api/fasta/AF123456"
# Get in EMBL flat file format
curl "https://www.ebi.ac.uk/ena/browser/api/embl/AF123456"
# Search by organism
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=tax_tree(9606)&result=study&limit=20&format=json"
# Get taxonomy details
curl "https://www.ebi.ac.uk/ena/taxonomy/rest/tax-id/9606"
| Type | Description | Example accession |
|------|-------------|-------------------|
| study | Research project | PRJEB12345 |
| sample | Biological sample | SAMEA12345 |
| experiment | Library/protocol | ERX12345 |
| read_run | Sequencing run | ERR12345 |
| analysis | Computed analysis | ERZ12345 |
| sequence | Assembled sequence | AF123456 |
| wgs_set | Whole genome shotgun | AABR00000000 |
| Parameter | Description | Example |
|-----------|-------------|---------|
| query | Search text or taxonomy | query=SARS-CoV-2 |
| result | Result type | result=study |
| limit | Max results (default 100K) | limit=50 |
| offset | Pagination offset | offset=100 |
| format | Response format | json, tsv, xml |
| fields | Specific fields | fields=accession,description |
import requests
PORTAL_URL = "https://www.ebi.ac.uk/ena/portal/api"
BROWSER_URL = "https://www.ebi.ac.uk/ena/browser/api"
def search_studies(query: str, limit: int = 20) -> list:
"""Search ENA for research studies."""
params = {
"query": query,
"result": "study",
"limit": limit,
"format": "json",
"fields": "study_accession,study_title,study_description,"
"tax_id,scientific_name,center_name",
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
def search_runs(query: str, limit: int = 20) -> list:
"""Search for sequencing runs."""
params = {
"query": query,
"result": "read_run",
"limit": limit,
"format": "json",
"fields": "run_accession,experiment_title,instrument_platform,"
"library_strategy,read_count,base_count",
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
def get_fasta(accession: str) -> str:
"""Retrieve sequence in FASTA format."""
resp = requests.get(f"{BROWSER_URL}/fasta/{accession}")
resp.raise_for_status()
return resp.text
def get_study_runs(study_accession: str) -> list:
"""Get all sequencing runs for a study."""
params = {
"query": f'study_accession="{study_accession}"',
"result": "read_run",
"format": "json",
"fields": "run_accession,fastq_ftp,read_count,base_count",
"limit": 1000,
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
# Example: find COVID-19 sequencing studies
studies = search_studies("SARS-CoV-2 whole genome", limit=5)
for s in studies:
print(f"{s['study_accession']}: {s['study_title']}")
print(f" Organism: {s.get('scientific_name')}")
# Example: find RNA-seq runs
runs = search_runs("RNA-seq breast cancer", limit=5)
for r in runs:
reads = int(r.get("read_count", 0))
print(f"{r['run_accession']}: {r.get('experiment_title', '')}")
print(f" Platform: {r.get('instrument_platform')} | "
f"Reads: {reads:,}")
# Download FASTQ files (from run metadata)
# The fastq_ftp field provides FTP paths:
wget ftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR123/ERR123456/ERR123456_1.fastq.gz
# Bulk download via Aspera (faster)
ascp -QT -l 300m -P33001 \
[email protected]:/vol1/fastq/ERR123/ERR123456/ ./
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