SeroCall

SeroCall quantifies pneumococcal capsular serotypes from Illumina whole-genome sequencing (WGS) data to identify and quantify serotype composition in mixed samples for surveillance and experimental analyses.

Key Features:

• Mixed Sample Analysis: Identifies and quantifies multiple pneumococcal serotypes present in mixed cultures or samples using WGS data.
• High Accuracy: Detects the major serotype with 100% precision and detects minor serotypes with up to 86% accuracy.
• Efficiency and Speed: Processes data at speeds comparable to or faster than existing identification tools on standard computing servers.
• Implementation and Compatibility: Implemented in Python and compatible with both Python 2 and Python 3.

Scientific Applications:

• Surveillance and Epidemiology: Quantify serotype prevalence and distribution in populations for epidemiological monitoring of pneumococcal colonization.
• Vaccine Development and Evaluation: Track changes in serotype frequency following vaccination campaigns to support vaccine assessment.
• Experimental Research: Analyze pneumococcal interactions and serotype dynamics in mixed-culture laboratory experiments as an alternative to traditional serotyping methods.

Methodology:

SeroCall analyzes Illumina whole-genome sequencing (WGS) reads and processes the sequencing data to identify and quantify capsular serotypes present in samples; it is implemented in Python (compatible with Python 2 and Python 3).