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Bioinformatics Goes Viral: I. Databases, Phylogenetics and Phylodynamics Tools for Boosting Virus Research.
Federico Vello1, Francesco Filippini1, Irene Righetto1
1Synthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, 35131 Padua, Italy.
Bioinformatics and computational biology tools enhance virus research by leveraging big data from high-throughput sequencing. This article explores valuable information from general and virus-specific databases, including host-pathogen interactions and phylogenetic analysis.
Area of Science:
- Bioinformatics and Computational Biology
- Virology
- Genomics
Background:
- The fields of Bioinformatics and Computational Biology have rapidly advanced, driven by high-throughput sequencing technologies generating vast amounts of biological data.
- The recent SARS-CoV-2 pandemic significantly accelerated the collaboration between bioinformaticians and virologists.
- Viruses, as obligate intracellular parasites, present unique challenges and opportunities for computational analysis.
Purpose of the Study:
- To demonstrate how bioinformatics tools and databases can significantly enhance virus research.
- To highlight the utility of general and virus-specific databases for retrieving critical information on viral sequences and annotations.
- To introduce phylogenetic and phylodynamic tools for analyzing viral evolution and spread.
Main Methods:
- Exploration of general databases within the International Nucleotide Sequence Database Collaboration (INSDC).
- Review of specialized, virus-specific databases and their evolving content.
- Focus on host-pathogen protein-protein interaction databases.
- Illustration of phylogenetic and phylodynamic tools, including algorithms, features, usage, and case studies.
Main Results:
- Significant and useful information regarding viral nucleotide/protein sequences and annotations is accessible through INSDC and dedicated virus databases.
- Host-pathogen interaction databases provide crucial insights into viral mechanisms.
- Phylogenetic and phylodynamic tools effectively analyze viral relationships and population dynamics, validated by practical case studies.
Conclusions:
- Bioinformatics offers powerful resources for advancing virology research.
- Accessible databases and analytical tools are essential for understanding viral biology, evolution, and interactions.
- This work serves as a foundational guide for applying computational approaches in virology.
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