Individual skill
biopython-entrez
Use Bio.Entrez to access NCBI databases (e.g., PubMed/GenBank) for searching, fetching summaries, and downloading records when your workflow needs to call the NCBI E-utilities API over the network.
scientific-skills/Evidence Insight/biopython-entrez/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- operations Derived category
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SKILL.mdcore · 6,062 bytesSKILL.mdcore · 6,062 bytesSKILL.mdcore · 6,062 bytesSKILL.mdcore · 6,062 bytesSKILL.mdcore · 6,062 bytesbiopython-entrez_audit_result_v1.jsonasset · 11,937 bytesconfig/task_config.jsonasset · 2 bytesreferences/databases.mddoc · 11,990 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
- You need to search PubMed for articles by keyword, author, journal, or date range and then retrieve metadata or abstracts.
- You want to download GenBank records (e.g., nucleotide/protein sequences) in batch given accession IDs or search queries.
- You need to convert identifiers or discover related records across NCBI databases (e.g., PubMed ↔ PMC, Gene ↔ Protein) via cross-links.
- You must retrieve lightweight summaries (titles, IDs, basic metadata) before deciding which full records to fetch.
- You are integrating NCBI E-utilities into an automated pipeline and need API key usage and rate-limit-aware requests.
## Key Features
- Supports core NCBI E-utilities via `Bio.Entrez`: `esearch`, `efetch`, `esummary`, `elink`.
- Query-based searching and ID list retrieval for downstream batch operations.
- Batch downloading of records in common formats (e.g., GenBank, FASTA, XML).