Microbial advanced database organisation (Micado)

Microbial advanced database organisation (Micado) organizes and curates microbial genomic sequences, genetic maps, mutant data, and integrated functional analyses to enable selective queries, automated imports from flat file distributions, and community-driven curation.

Key Features:

• Relational Database Schema: Implements a relational schema with SQL access that links eubacterial and archaeal sequences, genetic maps for Bacillus subtilis and Escherichia coli, and mutant records to support selective queries.
• Functional Analysis Integration: Integrates functional analysis data from the Bacillus subtilis unknown-genes project to support exploration of gene function and annotation.
• Automated Data Import and Parsers: Incorporates automated import mechanisms and programmed parsers for flat file distributions to ingest microbial sequences and genetic maps from molecular biology repositories.
• Hyperlink Integration: Embeds hyperlinks connecting database entries to external databases and publications to consolidate related information resources.
• Community-driven Curation: Supports community contribution of annotations and updates to maintain and expand genomic dataset curation.

Scientific Applications:

• Genome Management: Centralizes organization and retrieval of microbial genomic sequences and genetic maps for Bacillus subtilis, Escherichia coli, and broader eubacterial/archaeal datasets.
• Functional Genomics: Enables analysis and annotation of gene function, including investigation of unknown genes in Bacillus subtilis.
• Mutant Analysis: Facilitates storage and querying of mutant data linked to genomic and map contexts.
• Comparative and Integrative Genomics: Supports linking and comparison of sequences and genetic maps across bacterial and archaeal taxa.
• Automated Repository Synchronization: Provides a basis for programmatic updates of sequence and map data from flat file distributions in external repositories.
• Data Curation and Community Annotation: Enables collaborative curation and annotation workflows to maintain dataset quality and provenance.

Methodology:

Uses a relational database with SQL access, automated import mechanisms with programmed parsers for flat file distributions, and explicit linking of sequences, genetic maps, mutant records, and functional analysis datasets.