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Load when querying STRING for the protein-protein interaction subgraph induced by a bulk RNA-seq DEG list and finding hub genes. Skip for pathway enrichment of the same list (use bulkrna-enrichment) or for de novo co-expression network discovery (use bulkrna-coexpression).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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| name | bulkrna-ppi-network |
| description | Load when querying STRING for the protein-protein interaction subgraph induced by a bulk RNA-seq DEG list and finding hub genes. Skip for pathway enrichment of the same list (use bulkrna-enrichment) or for de novo co-expression network discovery (use bulkrna-coexpression). |
| version | 0.3.0 |
| author | OmicsClaw |
| license | MIT |
| tags | ["bulkrna","PPI","STRING","network","hub-genes","protein-interaction"] |
Run after bulkrna-de to ask "what does the STRING PPI subgraph
induced by my DEG list look like, and which proteins are central?".
Queries the public STRING API (no installation needed), constructs the
induced subgraph, and ranks hub proteins by degree centrality.
| Input | Format | Required |
|---|---|---|
| Gene list / DE results | .csv (gene names) | yes (or --demo) |
--species NCBI taxon | int | default 9606 (human); 10090 for mouse |
--score-threshold | int 0–1000 | default 400 (STRING "medium" confidence) |
--top-n | int | default 20 (top-degree hubs to report) |
| Output | Path | Notes |
|---|---|---|
| Edge list | tables/interaction_edges.csv | source / target / score |
| Node centrality | tables/node_centrality.csv | per-gene degree / betweenness / closeness / hub_score |
| Hub genes | tables/hub_genes.csv | top-N from node_centrality by hub_score |
| Network figure | figures/ppi_network.png | NetworkX layout |
| Hub-gene barplot | figures/hub_genes_barplot.png | top-N by hub_score |
| Report | report.md + result.json | summary keys: n_genes, n_edges, n_connected, n_isolated, mean_degree |
--input (treats first column as gene names).species + score_threshold.bulkrna_ppi_network.py:118 warns "STRING API failed (...) — using built-in demo edges").bulkrna_ppi_network.py:118 catches any API exception and substitutes the built-in toy network. This means a transient network outage produces output that looks normal but is unrelated to the user's gene list. The summary dict does not record which edge source ran — grep the run's stderr for "STRING API failed" to detect a silent fallback before reporting downstream conclusions.--score-threshold is on STRING's 0–1000 scale, not 0–1. Default 400 is STRING's "medium" confidence band; 700 is "high"; 900 is "highest". Passing 0.4 (a float) is silently coerced to 0 and pulls every edge in the database.--species is the NCBI taxon ID (default 9606 human, 10090 mouse). Passing the string "human" or "mouse" raises a type error from int(args.species). STRING also requires the species to be in its supported list — exotic taxa fail at the API layer.bulkrna-geneid-mapping to convert.python omicsclaw.py run bulkrna-ppi-network --demo
python omicsclaw.py run bulkrna-ppi-network \
--input de_significant.csv --output results/
python omicsclaw.py run bulkrna-ppi-network \
--input de_significant.csv --output results/ \
--species 10090 --score-threshold 700 --top-n 30
references/parameters.md — every CLI flag and tuning hintreferences/methodology.md — STRING query format, hub-gene definition (degree centrality)references/output_contract.md — exact output directory layoutbulkrna-de (upstream — DEG source), bulkrna-enrichment (parallel: pathway view of the same list), bulkrna-coexpression (parallel: de novo co-expression network from the count matrix), bulkrna-geneid-mapping (run upstream to convert IDs to HGNC/MGI)