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Bioinformatics for Analysis of Poxvirus Genomes
1Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada.
Methods in Molecular Biology (Clifton, N.J.)
|June 27, 2019
Summary
Recent advances in genome sequencing provide valuable data for virologists. This work introduces bioinformatics tools to help researchers analyze poxvirus genomes, overcoming common data management and analysis challenges.
Area of Science:
- Molecular Biology
- Bioinformatics
- Virology
Background:
- Technological advancements in molecular biology, particularly genome sequencing, have generated vast amounts of data.
- The analysis of this data is crucial for virologists, especially in the study of poxviruses.
- Existing public databases can be cumbersome for managing and analyzing large-scale viral genomic data.
Purpose of the Study:
- To address the challenges faced by bench virologists in accessing, analyzing, and interpreting genomics data.
- To introduce user-friendly software solutions for bioinformatics-based experiments.
- To focus on the comparison and analysis of poxvirus genomes.
Main Methods:
- Description of software to overcome common bioinformatics hurdles.
- Highlighting the Viral Orthologous Clusters (VOC) database system.
- Integration of tools for management and analysis of complete viral genomes.
Main Results:
- Identification of common obstacles in genomics data handling for researchers.
- Presentation of solutions through intuitive software.
- Demonstration of efficient data management and analysis for viral genomes.
Conclusions:
- User-friendly bioinformatics software is critical for bench virologists.
- The Viral Orthologous Clusters system offers an effective solution for poxvirus genome analysis.
- Streamlined data management and analysis facilitate virological research.
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