CSESA

CSESA predicts Salmonella enterica serotypes from CRISPR loci using an R package implementation of the CLSPT (CRISPR Loci-based Serotype Prediction Tool) methodology.

Key Features:

• CLSPT-based CRISPR typing: Implements the CLSPT methodology to predict serotypes from CRISPR loci.
• New spacer-pair analysis: Leverages newly incorporated spacer pairs within CRISPR loci to extend serotype coverage.
• Input flexibility: Accepts CRISPR sequences or whole genome sequences as input for serotype prediction.
• R package implementation: Provided as an R package implementation for computational analysis.
• Demonstrated accuracy: Reported high accuracy on the currently available Salmonella enterica sequence data.

Scientific Applications:

• High-throughput serotyping: Automates serotype prediction to improve throughput relative to traditional immunological methods.
• Resource reduction: Reduces reliance on extensive laboratory reagents and manual serotyping labor.
• Isolate characterization: Facilitates rapid characterization of S. enterica isolates for epidemiology, outbreak investigation, and food safety studies.

Methodology:

Analyzes CRISPR loci with a focus on newly incorporated spacer pairs and extends the CLSPT method for serotype prediction.