ZooPathWeb

ZooPathWeb integrates curated literature and sequence-analysis tools for zoonotic pathogens (viruses, bacteria, fungi, and parasites) to support epidemiological and evolutionary studies.

Key Features:

• Literature curation and categorization: Literature on zoonotic pathogens is collected and categorized by lineage, host species, geographical region, and publication year.
• SeqNHandle: Manages and analyzes sequence data pertinent to zoonotic pathogens.
• PaPhy-ML: Performs phylogenetic analyses to explore evolutionary relationships among pathogen strains.
• TreeView: Produces visual representations of phylogenetic trees to aid interpretation of evolutionary data.
• BLAST: Executes sequence alignment and comparison to identify genetic similarities and differences among pathogens.
• Population structure and adaptive evolution analysis: Supports identification of population structures and adaptive evolution patterns within zoonotic pathogen datasets.

Scientific Applications:

• Epidemiological studies: Enables literature- and sequence-based investigations of pathogen distribution across hosts and regions.
• Phylogenetics and evolutionary research: Facilitates reconstruction and interpretation of evolutionary relationships among strains.
• Surveillance and outbreak investigation: Supports sequence comparison and phylogenetic analysis for tracking transmission and outbreaks.
• Comparative genomics: Allows identification of genetic similarities, differences, and adaptive changes across pathogen genomes.
• Host range and zoonotic transmission studies: Integrates host-species and lineage data with sequence analyses to study cross-species transmission.

Methodology:

Literature collection performed with AKINND; literature categorized by lineage, host species, geographical region, and publication year; sequence data management and analysis with SeqNHandle; sequence alignment and comparison using BLAST; phylogenetic analyses conducted with PaPhy-ML; phylogenetic trees visualized with TreeView; combined analyses support identification of population structure and adaptive evolution patterns.