Gene Ontology and WGCNA Modules from Sea Star Wasting Outbreak

Supplemental tables from a 2026 study detail gene ontology outputs and WGCNA module memberships for an initial sea star wasting disease outbreak in Southeast Alaska. The 87,668-byte dataset provides supporting evidence for immune and microbial disruption as disease precursors. It enables analysis of gene co-expression networks and functional enrichment linked to a marine epidemic.

Use Cases

• Identifying enriched biological processes from gene ontology terms associated with disease onset.
• Analyzing gene co-expression modules via WGCNA to find clusters of correlated genes during the outbreak.
• Linking specific gene memberships to functional annotations for hypothesis generation.
• Comparing immune and microbial pathway disruptions using pre-calculated module outputs.

Strengths

• Provides pre-computed outputs from two standard bioinformatics analyses (Gene Ontology and WGCNA).
• Released under a permissive CC-BY-4.0 license, facilitating reuse.
• Dataset is cross-platform, appearing on multiple repositories, indicating community relevance.

Limitations

• Column names and a precise row count are not provided, limiting immediate understanding of the data structure.
• The dataset consists solely of supplemental tables; the primary raw sequencing or expression data may be elsewhere.
• The 'Last updated' date of 2026-03-21 is in the future relative to the current date, indicating a potential metadata error.

Provenance

Source

Andrew R McCracken

Collection Method

Outputs from gene ontology and Weighted Gene Co-expression Network Analysis (WGCNA) performed on study data.

Time Range

Associated with the initial disease outbreak period (specific dates not provided).

Freshness

Last updated: 2026-03-21 13:15:11

Geography

Southeast Alaska