VFDB 2019: a comparative pathogenomic platform with an interactive web interface

VFDB 2019: a comparative pathogenomic platform with an interactive web interface

2019 | Bo Liu, Dandan Zheng, Qi Jin, Lihong Chen and Jian Yang
The Virulence Factor Database (VFDB) is a comprehensive resource for studying bacterial virulence factors (VFs) and provides an online platform for analyzing bacterial pathogenesis. VFDB has been enhanced with an integrated and automatic pipeline called VFanalyzer, which systematically identifies known and potential VFs in bacterial genomes. VFanalyzer uses orthologous group analysis, hierarchical and iterative sequence similarity searches, and context-based data refinement to accurately identify VFs. It also includes an optimized interactive web interface for comparative pathogenomic analysis. VFanalyzer improves the identification of VFs by leveraging well-curated datasets and a comparative pathogenic strategy, allowing for curation-free analysis. It addresses challenges in genome annotation and the identification of VFs encoded by gene clusters. The pipeline includes multiple analytical processes to enhance specificity and sensitivity, including collinearity checks and missing component recovery. The VFDB database has been updated to include additional genera of pathogens, such as Francisella and Klebsiella, expanding its scope for studying bacterial virulence. The new JavaScript-rich web interface provides an improved user experience, enabling interactive data visualization and analysis. This interface supports features like dynamic hierarchical data structures and efficient data presentation. VFanalyzer is designed to analyze genomes from 32 pathogen genera, relying on comparative pathogenic datasets from VFDB. It accepts complete or nearly complete draft genomes to ensure reliable results. However, it has limitations, such as not supporting the analysis of severely fragmented genomes or raw WGS reads. Additionally, it primarily identifies VFs based on homologies with known VFs, rather than de novo prediction. VFanalyzer is a valuable tool for microbiologists and physicians to efficiently analyze bacterial genomes and identify VFs. It complements other online resources for bacterial genomic analysis, such as PATRIC, VRprofile, and VirulenceFinder. Despite its strengths, VFanalyzer requires further development to address its limitations and expand its capabilities for comprehensive bacterial VF prediction.The Virulence Factor Database (VFDB) is a comprehensive resource for studying bacterial virulence factors (VFs) and provides an online platform for analyzing bacterial pathogenesis. VFDB has been enhanced with an integrated and automatic pipeline called VFanalyzer, which systematically identifies known and potential VFs in bacterial genomes. VFanalyzer uses orthologous group analysis, hierarchical and iterative sequence similarity searches, and context-based data refinement to accurately identify VFs. It also includes an optimized interactive web interface for comparative pathogenomic analysis. VFanalyzer improves the identification of VFs by leveraging well-curated datasets and a comparative pathogenic strategy, allowing for curation-free analysis. It addresses challenges in genome annotation and the identification of VFs encoded by gene clusters. The pipeline includes multiple analytical processes to enhance specificity and sensitivity, including collinearity checks and missing component recovery. The VFDB database has been updated to include additional genera of pathogens, such as Francisella and Klebsiella, expanding its scope for studying bacterial virulence. The new JavaScript-rich web interface provides an improved user experience, enabling interactive data visualization and analysis. This interface supports features like dynamic hierarchical data structures and efficient data presentation. VFanalyzer is designed to analyze genomes from 32 pathogen genera, relying on comparative pathogenic datasets from VFDB. It accepts complete or nearly complete draft genomes to ensure reliable results. However, it has limitations, such as not supporting the analysis of severely fragmented genomes or raw WGS reads. Additionally, it primarily identifies VFs based on homologies with known VFs, rather than de novo prediction. VFanalyzer is a valuable tool for microbiologists and physicians to efficiently analyze bacterial genomes and identify VFs. It complements other online resources for bacterial genomic analysis, such as PATRIC, VRprofile, and VirulenceFinder. Despite its strengths, VFanalyzer requires further development to address its limitations and expand its capabilities for comprehensive bacterial VF prediction.
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