/ena-database

name: ena-database
description: "Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats."

ENA Database

Overview

The European Nucleotide Archive (ENA) is a comprehensive public repository for nucleotide sequence data and associated metadata. Access and query DNA/RNA sequences, raw reads, genome assemblies, and functional annotations through REST APIs and FTP for genomics and bioinformatics pipelines.

When to Use This Skill

This skill should be used when:

• Retrieving nucleotide sequences or raw sequencing reads by accession
• Searching for samples, studies, or assemblies by metadata criteria
• Downloading FASTQ files or genome assemblies for analysis
• Querying taxonomic information for organisms
• Accessing sequence annotations and functional data
• Integrating ENA data into bioinformatics pipelines
• Performing cross-reference searches to related databases
• Bulk downloading datasets via FTP or Aspera

Core Capabilities

1. Data Types and Structure

ENA organizes data into hierarchical object types:

**Studies/Projects** - Group related data and control release dates. Studies are the primary unit for citing archived data.

**Samples** - Represent units of biomaterial from which sequencing libraries were produced. Samples must be registered before submitting most data types.

**Raw Reads** - Consist of:

• **Experiments**: Metadata about sequencing methods, library preparation, and instrument details
• **Runs**: References to data files containing raw sequencing reads from a single sequencing run

**Assemblies** - Genome, transcriptome, metagenome, or metatranscriptome assemblies at various completion levels.

**Sequences** - Assembled and annotated sequences stored in the EMBL Nucleotide Sequence Database, including coding/non-coding regions and functional annotations.

**Analyses** - Results from computational analyses of sequence data.

**Taxonomy Records** - Taxonomic information including lineage and rank.

2. Programmatic Access

ENA provides multiple REST APIs for data access. Consult `references/api_reference.md` for detailed endpoint documentation.

**Key APIs:**

**ENA Portal API** - Advanced search functionality across all ENA data types

• Documentation: https://www.ebi.ac.uk/ena/portal/api/doc
• Use for complex queries and metadata searches

**ENA Browser API** - Direct retrieval of records and metadata

• Documentation: https://www.ebi.ac.uk/ena/browser/api/doc
• Use for downloading specific records by accession
• Returns data in XML format

**ENA Taxonomy REST API** - Query taxonomic information

• Access lineage, rank, and related taxonomic data

**ENA Cross Reference Service** - Access related records from external databases

• Endpoint: https://www.ebi.ac.uk/ena/xref/rest/

**CRAM Reference Registry** - Retrieve reference sequences

• Endpoint: https://www.ebi.ac.uk/ena/cram/
• Query by MD5 or SHA1 checksums

**Rate Limiting**: All APIs have a rate limit of 50 requests per second. Exceeding this returns HTTP 429 (Too Many Requests).

3. Searching and Retrieving Data

**Browser-Based Search:**

• Free text search across all fields
• Sequence similarity search (BLAST integration)
• Cross-reference search to find related records
• Advanced search with Rulespace query builder

**Programmatic Queries:**

• Use Portal API for advanced searches at scale
• Filter by data type, date range, taxonomy, or metadata fields
• Download results as tabulated metadata summaries or XML records

**Example API Query Pattern:**

import requests

# Search for samples from a specific study
base_url = "https://www.ebi.ac.uk/ena/portal/api/search"
params = {
    "result": "sample",
    "query": "study_accession=PRJEB1234",
    "format": "json",
    "limit": 100
}

response = requests.get(base_url, params=params)
samples = response.json()

4. Data Retrieval Formats

**Metadata Formats:**

• XML (native ENA format)
• JSON (via Portal API)
• TSV/CSV (tabulated summaries)

**Sequence Data:**

• FASTQ (raw reads)
• BAM/CRAM (aligned reads)
• FASTA (assembled sequences)
• EMBL flat file format (annotated sequences)

**Download Methods:**

• Direct API download (small files)
• FTP for bulk data transfer
• Aspera for high-speed transfer of large datasets
• enaBrowserTools command-line utility for bulk downloads

5. Common Use Cases

**Retrieve raw sequencing reads by accession:**

# Download run files using Browser API
accession = "ERR123456"
url = f"https://www.ebi.ac.uk/ena/browser/api/xml/{accession}"

**Search for all samples in a study:**

# Use Portal API to list samples
study_id = "PRJNA123456"
url = f"https://www.ebi.ac.uk/ena/portal/api/search?result=sample&query=study_accession={study_id}&format=tsv"

**Find assemblies for a specific organism:**

# Search assemblies by taxonomy
organism = "Escherichia coli"
url = f"https://www.ebi.ac.uk/ena/portal/api/search?result=assembly&query=tax_tree({organism})&format=json"

**Get taxonomic lineage:**

# Query taxonomy API
taxon_id = "562"  # E. coli
url = f"https://www.ebi.ac.uk/ena/taxonomy/rest/tax-id/{taxon_id}"

6. Integration with Analysis Pipelines

**Bulk Download Pattern:** 1. Search for accessions matching criteria using Portal API 2. Extract file URLs from search results 3. Download files via FTP or using enaBrowserTools 4. Process downloaded data in pipeline

**BLAST Integration:** Integrate with EBI's NCBI BLAST service (REST/SOAP API) for sequence similarity searches against ENA sequences.

7. Best Practices

**Rate Limiting:**

• Implement exponential backoff when receiving HTTP 429 responses
• Batch requests when possible to stay within 50 req/sec limit
• Use bulk download tools for large datasets instead of iterating API calls

**Data Citation:**

• Always cite using Study/Project accessions when