A new framework for SubtiWiki, the database for the model organism Bacillus subtilis

Area of Science:

• Microbiology
• Bioinformatics
• Systems Biology

Background:

• Bacillus subtilis is a well-characterized Gram-positive model bacterium.
• Extensive research data is available for Bacillus subtilis.
• Databases are crucial for organizing and accessing complex biological information.

Purpose of the Study:

• To present recent developments and the current state of the SubtiWiki database.
• To enhance the utility of SubtiWiki for researchers studying Bacillus subtilis.
• To provide integrated and accessible data for computational and experimental investigations.

Main Methods:

• Integration of novel features into the SubtiWiki framework.
• Development of a viewer for conserved genomic organization.
• Implementation of widgets for mutant fitness and protein structure data.
• Inclusion of metabolites as new data entities.
• Development of a documented API for programmatic data access.

Main Results:

• SubtiWiki now includes a genomic organization viewer.
• Mutant fitness data for non-essential genes is accessible via a widget.
• Protein structures, predictions, and complex structures are integrated.
• Metabolites have been added as new entities within the database.
• A documented API enables computational data retrieval.

Conclusions:

• SubtiWiki has been significantly enhanced with new features and data types.
• The updated SubtiWiki provides a more comprehensive resource for Bacillus subtilis research.
• The integrated data and API facilitate advanced computational analyses and experimental design.