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tooluniverse-sequence-retrieval

mims-harvard/tooluniverse

Retrieve DNA/RNA/protein sequences from NCBI and ENA with quality-ranked results and cross-database reconciliation.

What is tooluniverse-sequence-retrieval?

Fetch biological sequences by accession, gene symbol, or organism with automatic disambiguation and curation-level ranking. Prioritizes RefSeq curated entries over GenBank submissions and handles both NCBI and ENA databases intelligently.

  • Search NCBI Nucleotide and ENA by organism, gene symbol, strain, or keywords
  • Retrieve sequences in FASTA or GenBank format with full annotation metadata
  • Rank results by curation quality: RefSeq (NM_/NP_) > RefSeq predicted (XM_/XP_) > GenBank submissions
  • Resolve gene-to-sequence lookups with organism and isoform disambiguation
  • Cross-reference sequences across NCBI, ENA/EMBL, and GenBank databases
  • Handle fallback chains when primary database unavailable

How to install tooluniverse-sequence-retrieval

npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-sequence-retrieval
Claude Code
Cursor
Windsurf
Cline

How to use tooluniverse-sequence-retrieval

  1. 1.Provide organism (scientific name), gene symbol or accession, and sequence type (genomic/mRNA/protein) if known
  2. 2.Tool will search NCBI or ENA based on accession prefix and organism context
  3. 3.Review the Sequence Profile Report showing primary result, curation tier, and alternatives ranked by quality
  4. 4.Select download format (FASTA for alignment tools, GenBank for annotation details)
  5. 5.Cross-reference accessions across databases if comparing curated vs. submitted versions

Use cases

Good for
  • Fetch a specific mRNA sequence by RefSeq accession (NM_) for downstream BLAST or alignment analysis
  • Look up all transcript isoforms for a human gene and select the MANE Select canonical form
  • Retrieve a bacterial genome assembly and compare GenBank vs. RefSeq versions for annotation differences
  • Find protein sequence by gene symbol across multiple organisms to identify orthologs
  • Download curated vs. raw submissions side-by-side to assess annotation completeness
Who it's for
  • Bioinformaticians performing sequence analysis or alignment
  • Researchers comparing sequence versions across databases
  • Computational biologists building pipelines requiring high-quality reference sequences
  • Scientists validating gene annotations or isoform structures

tooluniverse-sequence-retrieval FAQ

Should I use NCBI or ENA?

Use NCBI for RefSeq accessions (NC_/NM_/NP_/XM_/XP_). Use ENA for GenBank format sequences. Never use ENA with RefSeq accessions—they return 404 errors.

What does the curation quality hierarchy mean?

RefSeq (NM_/NP_) are NCBI-curated gold standards. RefSeq predicted (XM_/XP_) are computationally predicted. GenBank submissions are researcher-submitted and may lack curation. Prefer RefSeq when available.

How do I find the canonical human transcript?

Search by gene symbol with organism 'Homo sapiens' and look for the MANE Select transcript in results—this is the preferred isoform for human genes.

What if my search returns no results?

Broaden keywords, verify organism spelling (use scientific names), check for gene synonyms, or try a higher taxonomic level. The tool will suggest fallback searches.

Can I get both FASTA and annotation details?

Yes. Download FASTA format for sequence analysis tools and GenBank format for full feature annotations (CDS, tRNA, regulatory elements).

Full instructions (SKILL.md)

Source of truth, from mims-harvard/tooluniverse.


name: tooluniverse-sequence-retrieval description: "Retrieve DNA/RNA/protein sequences from NCBI and ENA with disambiguation. Quality hierarchy: RefSeq (NM_/NP_) > RefSeq predicted (XM_/XP_) > GenBank submissions. Use for fetching specific sequences by accession, gene-symbol-to-sequence lookup, transcript-isoform retrieval, and curated-vs-raw-submission preference." disable-model-invocation: true

Biological Sequence Retrieval

Retrieve DNA, RNA, and protein sequences with proper disambiguation and cross-database handling.

IMPORTANT: Always use English terms in tool calls. Only try original-language terms as fallback. Respond in the user's language.

LOOK UP DON'T GUESS: Never assume accession numbers or sequence versions. Always retrieve and verify from NCBI or ENA.

Domain Reasoning

Sequence quality hierarchy: RefSeq (NM_/NP_ = curated) > RefSeq predicted (XM_/XP_) > GenBank (submitted). Prefer the MANE Select transcript for human canonical isoforms. Check version numbers -- annotations improve across versions.

Workflow

Phase 0: Clarify (if needed) → Phase 1: Disambiguate Gene/Organism → Phase 2: Search & Retrieve → Phase 3: Report

Phase 0: Clarification (When Needed)

Ask ONLY if: gene exists in multiple organisms, sequence type unclear, or strain matters. Skip for: specific accessions, clear organism+gene combos, complete genome requests with organism.


Phase 1: Gene/Organism Disambiguation

Accession Type Decision Tree

PrefixTypeUse With
NC_/NM_/NR_/NP_/XM_RefSeqNCBI only
U*/M*/K*/X*/CP*/NZ_GenBankNCBI or ENA
EMBL formatEMBLENA preferred

CRITICAL: Never try ENA tools with RefSeq accessions -- they return 404.

Identity Checklist

  • Organism confirmed (scientific name)
  • Gene symbol/name identified
  • Sequence type determined (genomic/mRNA/protein)
  • Accession prefix identified for tool selection

Phase 2: Data Retrieval (Internal)

Retrieve silently. Do NOT narrate the search process.

# Search NCBI Nucleotide
result = tu.tools.NCBI_search_nucleotide(
    operation="search", organism=organism, gene=gene,
    strain=strain, keywords=keywords, seq_type=seq_type, limit=10
)

# Get accessions from UIDs
accessions = tu.tools.NCBI_fetch_accessions(operation="fetch_accession", uids=result["data"]["uids"])

# Retrieve sequence (FASTA or GenBank format)
sequence = tu.tools.NCBI_get_sequence(operation="fetch_sequence", accession=accession, format="fasta")

# ENA alternative (non-RefSeq accessions only)
entry = tu.tools.ena_get_entry(accession=accession)
fasta = tu.tools.ena_get_sequence_fasta(accession=accession)

Fallback Chains

PrimaryFallbackNotes
NCBI_get_sequenceENA (if GenBank format)NCBI unavailable
ena_get_entryNCBI_get_sequenceENA doesn't have RefSeq
NCBI_search_nucleotideTry broader keywordsNo results

Phase 3: Report Sequence Profile

Present as a Sequence Profile Report. Hide search process. Include:

  1. Search Summary: query, database, result count
  2. Primary Sequence: accession, type (RefSeq/GenBank), organism, strain, length, molecule, topology, curation level
  3. Sequence Preview: first lines of FASTA (truncated)
  4. Annotations Summary: CDS/tRNA/rRNA/regulatory feature counts (from GenBank format)
  5. Alternative Sequences: ranked by relevance and curation, with ENA compatibility
  6. Cross-Database References: RefSeq, GenBank, ENA/EMBL, BioProject, BioSample
  7. Download Options: FASTA (for BLAST/alignment), GenBank (for annotation)

Curation Level Tiers

TierPrefixDescription
RefSeq Reference (best)NC_, NM_, NP_NCBI-curated, gold standard
RefSeq PredictedXM_, XP_, XR_Computationally predicted
GenBank ValidatedVariousSubmitted, some curation
GenBank DirectVariousDirect submission
Third PartyTPA_Third-party annotation

Reasoning Framework

Sequence quality: Prefer RefSeq over GenBank. Check version numbers. Sequences with "PREDICTED" in definition are not experimentally validated.

Accession guidance: RefSeq = NCBI-only. GenBank = mirrored in ENA/EMBL. Default to RefSeq mRNA (NM_) for human/model organisms; most complete genome assembly for microbial queries.

Cross-database reconciliation: Same sequence may have different accessions (e.g., GenBank U00096 = RefSeq NC_000913 for E. coli K-12). Always report both when available. Discrepancies between GenBank/RefSeq typically indicate RefSeq curation corrected submission errors.

Synthesis Questions

  1. What is the highest-quality accession available?
  2. Are there alternative accessions in other databases?
  3. What is the annotation completeness?
  4. Is the sequence from the expected organism/strain?
  5. What download format suits the user's downstream analysis?

Error Handling

ErrorResponse
"No search criteria provided"Add organism, gene, or keywords
"ENA 404 error"Likely RefSeq -- use NCBI only
"No results found"Broaden search, check spelling, try synonyms
"Sequence too large"Note size, provide download link instead

Tool Reference

NCBI Tools: NCBI_search_nucleotide (search), NCBI_fetch_accessions (UID→accession), NCBI_get_sequence (retrieve) ENA Tools (GenBank/EMBL only): ena_get_entry (metadata), ena_get_sequence_fasta (FASTA), ena_get_entry_summary (summary)


Search Parameters Reference

NCBI_search_nucleotide: operation="search", organism (scientific name), gene (symbol), strain, keywords, seq_type (complete_genome/mrna/refseq), limit

NCBI_get_sequence: operation="fetch_sequence", accession, format (fasta/genbank)