What types of identifiers are supported by this skill?

The skill supports various formats including UniProt accessions, Gene symbols, Ensembl IDs, EntrezGene IDs, and ChEBI IDs for small molecules.

How do I visualize the analysis results generated by Claude?

The skill provides analysis tokens that can be appended to Reactome Pathway Browser URLs, allowing you to view interactive visualizations of your data.

Can I perform quantitative analysis on RNA-seq or proteomics data?

Yes, the skill can process TSV formatted expression data with numeric values to identify pathways associated with specific expression changes.

Does this skill support species other than humans?

Yes, while the focus is on human pathways, the skill supports species comparison and can project data from other organisms onto human pathway models.

Is an API key required to use the Reactome database skill?

No, Reactome provides an open REST API that does not require an API key for standard queries and analysis services.

Reactome Pathway Analysis

Name: Reactome Pathway Analysis
Author: K-Dense-AI

byK-Dense-AI

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2,188

Data Science & ML

Integrates the Reactome database to perform pathway enrichment, gene-pathway mapping, and molecular interaction analysis for systems biology.

About

This skill empowers Claude to interact directly with the Reactome REST API, providing access to over 2,800 curated human pathways for advanced bioinformatics research. It enables users to perform overrepresentation analysis on gene lists, analyze multi-sample expression datasets, and query detailed molecular interactions or reaction hierarchies. By bridging biological data with Claude's reasoning, it facilitates rapid discovery in systems biology, supporting species comparison and visualization of results within the Reactome Pathway Browser.

Key Features

Automated identifier mapping for UniProt, Ensembl, and Gene Symbols
Cross-species pathway projection and comparative analysis
Statistical overrepresentation and pathway enrichment analysis
Detailed retrieval of molecular interactions and reaction entities
2,188 GitHub stars
Quantitative gene expression data mapping and visualization

Use Cases

Identifying significant biological pathways from differential gene expression lists.
Visualizing experimental analysis results using generated tokens in the Reactome Browser.
Mapping protein-protein interactions and small molecule reactions to curated pathways.

About

Key Features

Automated identifier mapping for UniProt, Ensembl, and Gene Symbols
Cross-species pathway projection and comparative analysis
Statistical overrepresentation and pathway enrichment analysis
Detailed retrieval of molecular interactions and reaction entities
2,188 GitHub stars
Quantitative gene expression data mapping and visualization

Use Cases

Identifying significant biological pathways from differential gene expression lists.
Visualizing experimental analysis results using generated tokens in the Reactome Browser.
Mapping protein-protein interactions and small molecule reactions to curated pathways.