- Skill ID
- google-deepmind/science-skills/reactome-database
- Publisher
- google-deepmind
- Repository
- science-skills
- Installs
- 0
- Files
- 4
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
google-deepmind/science-skills/reactome-databaseInstalls these files- SKILL.md
- references/api_reference.md
- references/citation.bib
- scripts/reactome_analysis.py
What this skill tells the agent
Reactome Analysis & Content Service
Prerequisites
- `uv`: Read the
uvskill and follow its Setup instructions to ensureuvis installed and on PATH. - User Notification: If .licenses/reactome_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://reactome.org/license and https://reactome.org/cite, then (2) create the file recording the notification text and timestamp.
Overview
Reactome is a free, open-source, curated pathway database. This skill wraps both the Analysis Service (https://reactome.org/AnalysisService/) and the Content Service (https://reactome.org/ContentService/) providing pathway enrichment analysis, identifier mapping, reaction details, pathway hierarchy navigation, diagram export, cross-reference mapping, and search.
When to Use This Skill
- Performing pathway enrichment (overrepresentation) analysis on gene/protein lists
- Retrieving analysis results using a token from previous enrichment
- Identifying which genes or proteins were not found in a pathway analysis
- Analyzing gene expression data against pathway annotations
- Mapping identifiers to Reactome entities across species
- Retrieving reaction participants (inputs, outputs, catalysts, regulators)
- Navigating pathway hierarchy and listing top-level pathways
- Finding which complexes or sets contain a protein
- Exporting pathway/reaction diagrams (PNG/SVG) with gene highlighting
- Cross-referencing identifiers across databases (UniProt, Ensembl, etc.)
- Searching the Reactome knowledgebase
- Downloading analysis reports (PDF, CSV, JSON)
- Comparing pathways across species
Common Species IDs
Reference list for common research organisms:
- Homo sapiens
- ID: 9606
- Mus musculus (Mouse)
- ID: 48892
- Rattus norvegicus (Rat)
- ID: 48895
Common Pathway IDs
Reference list for commonly used Reactome pathway stable IDs:
- Cell Cycle
- Stable ID: R-HSA-1640170
- Notes: Top-level pathway (broad)
- Cell Cycle, Mitotic
- Stable ID: R-HSA-69278
- Notes: Specific sub-pathway — use this for diagrams and drill-downs
- Immune System
- Stable ID: R-HSA-168256
- Notes: Top-level pathway
- Signal Transduction
- Stable ID: R-HSA-162582
- Notes: Top-level pathway
- Gene Expression
- Stable ID: R-HSA-74160
- Notes: Top-level pathway
- Programmed Cell Death
- Stable ID: R-HSA-5357801
- Notes: Top-level pathway
Important: When the user asks for a "Cell Cycle" diagram or analysis, prefer the specific Cell Cycle, Mitotic pathway (R-HSA-69278) unless the user explicitly requests the top-level overview. The examples throughout this document useR-HSA-69278.
Core Rules
- Always use `--output`: Every subcommand requires
--output <file>to write results to a file. Never rely on stdout for large results. - Default species is Homo sapiens: Use
--speciesto override. - Tokens expire after 7 days: Store tokens from analysis results to retrieve them later without re-submitting data.
- Use `--fdr` and `--pvalue` to filter: Enrichment results can be overwhelming. Filter with
--fdr 0.05or--pvalue 0.01to focus on statistically significant pathways. - Identifier formats: Reactome auto-detects identifiers including gene symbols (TP53), UniProt (P04637), Ensembl (ENSG00000141510), ChEBI, OMIM, EntrezGene, and many more.
- Handle large outputs: For commands that return large data (like
species-comparison), use the--summaryflag to truncate lists and avoid exceeding workspace file size limits (1MB). - Notification: If this skill is used, ensure this is mentioned in the output.
Tool Execution
The CLI tool is at scripts/reactome_analysis.py. Run with uv:
uv run scripts/reactome_analysis.py <command> [options] --output /tmp/out.jsonTo list all available subcommands and flags, run:
uv run scripts/reactome_analysis.py --helpUse --help to verify available subcommands or flags before executing an unfamiliar command.
Feature Domains
1. Database Info
uv run scripts/reactome_analysis.py db-version --output /tmp/version.json
uv run scripts/reactome_analysis.py db-name --output /tmp/name.json2. Single Identifier Analysis
uv run scripts/reactome_analysis.py identifier --id TP53 --output /tmp/tp53.json
uv run scripts/reactome_analysis.py identifier-projection --id TP53 --output /tmp/tp53_proj.json3. Batch Analysis (Enrichment)
Submit a list of identifiers for overrepresentation or expression analysis:
uv run scripts/reactome_analysis.py analyze --data "TP53,BRCA1,EGFR" --output /tmp/enrich.json
uv run scripts/reactome_analysis.py analyze --file genes.txt --output /tmp/enrich.json
uv run scripts/reactome_analysis.py analyze-projection --data "TP53,BRCA1" --output /tmp/proj.json
uv run scripts/reactome_analysis.py analyze --data "TP53,BRCA1" --fdr 0.05 --output /tmp/sig.jsonCommon options: --page-size (alias --limit), --page (alias --offset), --sort-by, --order, --resource, --species, --fdr, --pvalue.
4. Token-Based Result Retrieval
uv run scripts/reactome_analysis.py token-result --token TOKEN --output /tmp/result.json
uv run scripts/reactome_analysis.py token-not-found --token TOKEN --output /tmp/notfound.json
uv run scripts/reactome_analysis.py token-resources --token TOKEN --output /tmp/resources.json
uv run scripts/reactome_analysis.py token-found-entities --token TOKEN --pathway R-HSA-69278 --output /tmp/found.json
uv run scripts/reactome_analysis.py token-filter-species --token TOKEN --species-filter 9606 --output /tmp/filtered.json
uv run scripts/reactome_analysis.py token-reactions-pathway --token TOKEN --pathway R-HSA-69278 --output /tmp/rxns.json5. Download Results
uv run scripts/reactome_analysis.py download-result --token TOKEN --output /tmp/full.json
uv run scripts/reactome_analysis.py download-pathways --token TOKEN --output /tmp/pathways.csv
uv run scripts/reactome_analysis.py download-found --token TOKEN --output /tmp/found.csv
uv run scripts/reactome_analysis.py download-not-found --token TOKEN --output /tmp/notfound.csv6. Identifier Mapping
uv run scripts/reactome_analysis.py mapping --data "TP53,BRCA1" --output /tmp/mapped.json
uv run scripts/reactome_analysis.py mapping-projection --data "TP53" --output /tmp/mapped_proj.json7. Reaction Participants & Mechanism of Action
Retrieve the molecular participants of a reaction (inputs, outputs, catalysts):
uv run scripts/reactome_analysis.py participants --id R-HSA-6804194 --output /tmp/participants.json
uv run scripts/reactome_analysis.py participating-entities --id R-HSA-6804194 --output /tmp/entities.json8. Complex & Set Membership
Find which complexes or sets contain a given entity:
uv run scripts/reactome_analysis.py component-of --id R-HSA-69488 --output /tmp/complexes.json9. Pathway Hierarchy Navigation
Move up (ancestors) or down (contained events) the pathway hierarchy:
uv run scripts/reactome_analysis.py event-ancestors --id R-HSA-69278 --output /tmp/ancestors.json
uv run scripts/reactome_analysis.py contained-events --id R-HSA-69278 --output /tmp/steps.json
uv run scripts/reactome_analysis.py top-pathways --output /tmp/top.json
uv run scripts/reactome_analysis.py low-pathways --id R-HSA-69488 --output /tmp/low.json10. Diagram Export
Export pathway or reaction diagrams as PNG/SVG, with optional gene highlighting:
uv run scripts/reactome_analysis.py diagram --id R-HSA-69278 --output /tmp/diagram.pngMore from google-deepmind
Use this skill in a project
Open any RiverX project, search the Skills panel for google-deepmind/science-skills/reactome-database, and install it in one click.
