bacteria.guru

bacteria.guru provides comparative transcriptomics and co-expression network analyses across 17 bacterial pathogens to investigate gene regulation, functionally enriched clusters, gene families, and antibiotic resistance mechanisms.

Key Features:

• Integrated Genomic and Transcriptomic Data: Consolidates genomic and transcriptomic data from 17 bacterial pathogens to enable cross-species analyses of gene function and regulation.
• Gene Expression Identification and Comparison: Identifies, visualizes, and compares gene expression profiles and co-expression relationships across conditions and species.
• Co-expression Networks: Constructs co-expression networks to reveal functional relationships between genes and responses to conditions such as antibiotic exposure.
• Functionally Enriched Clusters and Gene Families: Detects functionally enriched clusters and gene families across species to pinpoint conserved elements involved in pathogenicity and resistance mechanisms.
• Visualization Tools: Provides visual representations of co-expression networks and biological processes, including antibiotic resistance mechanisms in Pseudomonas aeruginosa.

Scientific Applications:

• Gene Function Prediction: Infers functions of uncharacterized genes through co-expression patterns and cluster membership.
• Antibiotic Resistance Research: Illuminates mechanisms of antibiotic resistance and supports identification of multi-faceted antibiotic targets, exemplified in Pseudomonas aeruginosa.
• Comparative Genomics: Enables identification of evolutionarily conserved genes and pathways across multiple bacterial species.
• Pathogen-Specific Studies: Supports focused investigations of individual pathogens by comparing expression and co-expression signatures within and between species.

Methodology:

Integrates genomic and transcriptomic data from 17 bacterial pathogens, constructs co-expression networks, and identifies functionally enriched clusters and gene families.