BACA

BACA compares enrichment analysis results from multiple gene lists by aggregating DAVID annotation charts into a unified graphical representation to facilitate comparative interpretation of gene and protein annotations from high-throughput experiments.

Key Features:

• R implementation: Implemented in R for analysis and graphical output.
• DAVID integration: Queries the DAVID web service to retrieve enrichment and annotation chart results for gene or protein lists.
• Multiple gene-list comparison: Aggregates enrichment results from multiple gene lists for cross-comparison.
• Annotation-chart aggregation: Combines multiple DAVID annotation charts into a single cohesive output graph for comparative visualization.
• Enrichment visualization: Produces graphical representations that reveal shared and distinct enriched terms across analyses.
• High-throughput data support: Designed to interpret gene and protein lists derived from high-throughput experiments.

Scientific Applications:

• Comparative enrichment analysis: Compare enrichment analysis outcomes across multiple gene lists using DAVID-derived annotation charts.
• Functional interpretation of high-throughput data: Interpret functional annotations of genes or proteins from high-throughput experiments.
• Detection of shared and specific enrichment: Identify shared and dataset-specific enriched biological terms or pathways across experiments.

Methodology:

Implemented in R, BACA queries the DAVID web service to retrieve annotation charts and combines multiple annotation charts into a unified output graph for comparative visualization.