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database-access
Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
Shotgun metagenomics workflow with host-depletion-aware QC, taxonomic profiling, functional profiling, AMR follow-up, and reproducible community output tables.
Mass spectrometry proteomics QC, quantification, comparative analysis, and export for DDA, DIA, and protein-level result tables.
Structure retrieval, confidence-aware AlphaFold DB usage, coordinate download, PAE and pLDDT interpretation, and structure-guided biological annotation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
| name | database-access |
| description | Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources. |
| tool_type | python |
| primary_tool | requests |
Reference examples assume recent stable releases of the preferred tools, especially requests and the other tools listed below.
Before using code or command patterns, verify installed versions match the environment:
python -c "import <module>; print(<module>.__version__)"<tool> --versionWorkflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.
references/technical_reference.md when you need deeper tool-selection rules, environment adaptation notes, or extra validation guidance.SKILL.md as the main execution path and load the reference file only when the task or failure mode needs the extra detail.import requests
resp = requests.get("https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi", params={
"db": "gds",
"term": "single cell liver",
"retmode": "json",
})
print(resp.text[:500])
Choose repositories based on whether the target is raw data, processed data, annotation, pathways, or literature.
Record identifiers, filters, and database versions or access dates.
Standardize result tables so downstream workflows can join on stable IDs.
Avoid bulk retrieval when a narrower dataset or accession list solves the task.
Save accession tables, metadata joins, and database provenance.
results/ for final tables and serialized objectsfigures/ for plots and static visual exportsqc/ for checks that justify downstream interpretationdownloaded datasetslinked metadata tablesquery result summariesSequence And Format IOAlignment And MappingRead QCReporting And Figure Exportpubmed-databasereactome-databasestring-database