VESPUCCI

VESPUCCI integrates publicly available prokaryotic transcriptomics data to enable cross-species expression analysis and identification of conserved gene expression patterns.

Key Features:

• Extensive Data Integration: Consolidates transcriptomics datasets from multiple public sources to provide unified expression data across prokaryotic model organisms.
• Expanded Species and Data Coverage: Represents an increased number of species and a larger total volume of expression data compared to prior releases.
• Enhanced Condition Annotation: Implements a detailed condition annotation system that records experimental conditions of samples.
• Cross-Species Analysis: Enables simultaneous analysis of expression data across multiple species to identify candidate genes with evolutionarily conserved expression patterns.
• Advanced Expression-based Query Tools: Provides query capabilities beyond simple co-expression retrieval, allowing exploration of complex expression behavior patterns.

Scientific Applications:

• Comparative Genomics: Facilitates comparative analysis of gene expression profiles across prokaryotic species.
• Evolutionary Biology: Supports identification of genes with conserved expression behaviors relevant to evolutionary relationships among prokaryotes.
• Transcriptomics Research: Supports a range of transcriptomic studies from basic research to applied sciences through integrated expression data and annotations.

Methodology:

Consolidation of transcriptomics datasets; standardized condition annotation of samples; expression-based query processing including co-expression retrieval; and cross-species comparative expression analysis.