Data & ReproBioinformatics & GenomicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
BI

bio-entrez-fetch

Maintainer FreedomIntelligence · Last updated April 1, 2026

Fetch records from NCBI Entrez by accession or UID.

OpenClawNanoClawAnalysisReproductionbio-entrez-fetch🧠 bioos extended suitebioos extended bioinformatics suitefetch

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-entrez-fetch

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Retrieve records from NCBI databases using Biopython's Entrez module (EFetch, ESummary utilities).
  • handle = Entrez.efetch(db='nucleotide', id='NM_007294', rettype='gb', retmode='text') genbank_text = handle.read() handle.close().

Source Doc

Excerpt From SKILL.md

Entrez.efetch() - Retrieve Full Records

Fetch complete records in various formats from any NCBI database.


## Fetch FASTA sequence

handle = Entrez.efetch(db='nucleotide', id='NM_007294', rettype='fasta', retmode='text')
fasta_text = handle.read()
handle.close()

## Fetch multiple records

handle = Entrez.efetch(db='nucleotide', id='NM_007294,NM_000059', rettype='fasta', retmode='text')

Key Parameters:

ParameterDescriptionExample
dbDatabase name'nucleotide', 'protein', 'pubmed'
idRecord ID(s)'NM_007294' or '123,456,789'
rettypeReturn type'fasta', 'gb', 'abstract'
retmodeReturn mode'text', 'xml'
retstartStart index0
retmaxMax records20
WebEnvHistory server sessionFrom esearch
query_keyHistory server queryFrom esearch

Use cases

  • Use bio-entrez-fetch for genomics and bioinformatics workflows.
  • Apply bio-entrez-fetch to sequencing, variant, or omics analysis tasks.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • entrez-search - Find record IDs before fetching
  • entrez-link - Find related records in other databases
  • batch-downloads - Download large numbers of records efficiently
  • sequence-io/read-sequences - Parse downloaded sequences with SeqIO

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