rrvgo

rrvgo reduces redundancy in enriched Gene Ontology (GO) term lists by grouping semantically similar GO terms to simplify biological interpretation of high-throughput omics and differential expression results.

Key Features:

• Redundancy reduction: Groups similar GO terms using semantic similarity measures to consolidate overlapping and redundant enriched terms.
• Visualization: Generates multiple visual representations to aid interpretation of summarized GO terms across Biological Process, Molecular Function, and Cellular Component ontologies.
• Programmatic integration: Exposes functions for incorporation of GO term summarization and visualization into bioinformatics workflows and automated analyses.
• Up-to-date GO gene annotation: Leverages Bioconductor resources to access current GO gene annotations for enrichment summarization.

Scientific Applications:

• Differential gene expression analysis: Summarizes enriched GO terms from lists of differentially regulated genes to highlight coherent biological themes.
• Pathway and enrichment analysis: Reduces complexity of GO-based enrichment results to facilitate interpretation alongside pathway analyses.
• High-throughput omics interpretation: Provides condensed GO term summaries to support interpretation of large omics-driven investigations.

Methodology:

rrvgo applies semantic similarity measures to group GO terms, consolidates related terms into coherent groups to reduce redundancy, and uses Bioconductor GO gene annotations for mapping and summarization.