Special Issue "Bioinformatics and Computational Approaches in Viral Genomics and Evolution"
A special issue of Viruses (ISSN 1999-4915).
Deadline for manuscript submissions: closed (31 May 2020).
Interests: virology; virus evolution; RNA viruses; phylogenetics; bioinformatics; pathogen discovery; metagenomics; RNA-seq
Interests: phylodynamics; phylogenetics; infectious disease epidemiology; molecular evolution
2. The University of Sydney, Sydney, Australia
Interests: virus evolution; metagenomics; meta-transcriptomics; macroevolution; pathogen discovery; virology
In recent years, bioinformatics and computational methods have become a core component of virus research, underpinning the fields of virus genomics and evolution. The scale and complexity of analyses have grown along with major advances in genetic sequencing and, consequently, have required a paradigm shift with regard to the statistical and computational requirements of viral genomic analysis. For example, in phylogenetics, new methods have been developed to estimate trees with large numbers of taxa (>10,000 sequences) and to infer complex transmission dynamics using machine learning techniques. Similarly, integrative phylodynamic methods can combine key phenotypic “traits” such as sampling location, case counts, and time with virus genetic data to obtain new insights into the epidemic spread of important pathogens such as influenza virus, Zika virus, and HIV. From a macro-evolution perspective, the use of genomic- and metagenomic-based approaches has expanded our knowledge of the diversity and evolutionary history of the entire virosphere, providing new insight into many old questions such as virus origin, genome evolution, evolution time scales, and virus–host interactions.
The purpose of this Special Issue is to bring together a series of articles (both reviews and original research) related the development and application of novel sequencing and analytical approaches to better understand the discovery, transmission, evolution, and molecular epidemiology of viruses across all hosts.
Dr. John-Sebastian Eden
Dr. Sebastián Duchêne
Prof. Dr. Mang Shi
Manuscript Submission Information
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- computational biology
- virus evolution
- virus genomics
- virus–host interactions