COLOMBOS

COLOMBOS integrates and homogenizes public microarray and RNA-seq transcriptomics data across multiple prokaryotic model organisms to enable comparative and cross-species expression analyses.

Key Features:

• Extensive Data Integration: Compiles transcriptomic datasets from Gene Expression Omnibus (GEO) and ArrayExpress including microarray and RNA-seq experiments that are collected, homogenized, and annotated.
• Expanded Data Coverage: More than doubled in the number of species covered and in overall data volume.
• Enhanced Condition Annotation: Implements an overhauled condition annotation system providing comprehensive experimental condition information for each sample.
• Cross-Species Analysis: Supports simultaneous analysis of expression data across multiple species to identify candidate genes with evolutionarily conserved expression patterns.
• Advanced Expression Querying: Extends query capabilities beyond co-expression retrieval to support exploration of complex expression behavior patterns.

Scientific Applications:

• Comparative Genomics: Enables cross-species expression analysis to identify conserved genetic elements and pathways across prokaryotic organisms.
• Gene Function Annotation: Facilitates prediction of gene functions based on expression patterns observed under diverse experimental conditions.
• Evolutionary Studies: Supports analysis of evolutionarily conserved expression behaviors to infer adaptive strategies and evolutionary pressures in prokaryotes.
• Transcriptomic Research: Supports detailed studies of gene regulation mechanisms and their modulation across different environmental contexts.

Methodology:

Datasets are compiled from GEO and ArrayExpress; microarray and RNA-seq experiments are collected, homogenized, and annotated; a condition annotation system is applied; the resource enables cross-species analyses and advanced queries of complex expression behavior patterns.