BugaSbase

BugaSbase provides a curated relational database for storing and analyzing high-throughput bacterial microarray gene expression and comparative genomic data to support MIAME-compliant experimental annotation and analyses such as comparative genomic hybridization (CGH).

Key Features:

• Comprehensive Data Repository: Hosts 86 expertly curated publicly available datasets, full annotation information for 59 bacterial microarray designs, and an additional 124 unpublished datasets.
• Expert Curation and Annotation: Maintains expert curation with annotation practices that use controlled vocabularies and best-practice experimental metadata.
• MIAME Compliance: Ensures adherence to the Minimum Information About a Microarray Experiment (MIAME) standard for comprehensive experimental annotations.
• Relational Database Architecture: Implements a relational database model to manage high-throughput functional genomic data focused on microbial studies.
• Modular Design for Future Integration: Built on a modular framework to permit integration of additional data types beyond microarrays.

Scientific Applications:

• Gene Expression Analysis: Facilitates analysis of bacterial gene expression patterns across species and experimental conditions using microarray data.
• Comparative Genomic Hybridization (CGH): Supports comparative analyses to identify genomic variations and infer evolutionary relationships among bacteria.
• Systems Biology Approaches: Provides a foundation for integrating multiple data types to support systems-level analyses.

Methodology:

Relational database implementation with expert curation, annotation using controlled vocabularies and MIAME-compliant metadata, and a modular framework for incorporating additional data types.