With the development of DNA sequencing technology, it is feasible to obtain genomic sequences of a microorganism in a relatively short time and at a reasonable price, creating big genomic data. Beyond the basic genome description, it is about understanding genomic functions and evolutions. Using advanced bioinformatics will help us dig in-depth into genetic characterization and evolution as well as broaden the genetic analysis to different aspects. Through high throughput sequencing, we can do gene expression analysis, functional annotation of the specific genes, and even molecular pathway prediction. Those
advantages in generating and mining genetic data are available for many fields of life sciences, including veterinary virology. Complete genomic analysis for veterinary viruses will help us broaden the insight into the study of the evolution of the viruses.
In the field of veterinary virology, with pioneering research, we have so far accumulated novel virus data in domestic to wild animals through high throughput sequencing. Previously unknown viruses and their genetic information have been continuously found and accumulated in diverse animal species, but they are still needed to be studied with many in-depth or extensive molecular-based analyses. One of the challenges for veterinary virologists has been to find fruitful information from the collected viral genomic or sequencing data, such as genetic elements related to pathogenicities (if any). New findings beyond the established results generated using advanced bioinformatics will aid in novel experimental studies in the field of veterinary virology. In the case of viruses appearing to have a clear pathogenic role, advanced bioinformatics tools will help to deepen and expand many aspects such as comparative analysis, molecular epidemiology, and molecular evolution. Along this line, there is a continuous lack of effort in studying viruses that are less known and are of less concern for which bioinformatics tools will be of great advantage. Hence, bioinformatics is an efficient and effective approach in the way that makes it usable and informative.
Taken together, it is of great interest to see the application of state-of-the-art bioinformatic tools to a large collection of genetic data of viruses. Experimental studies to support bioinformatics prediction will also strengthen our knowledge of veterinary viruses. We need to collect novel ideas on how we can apply advanced bioinformatics to veterinary virology with the collected databases as well as update our knowledge.
In this research topic, we aim to provide valuable scientific insight or contribution to the field of applying advanced bioinformatics in veterinary virology. Original Research, Review and Mini Review articles are particularly welcome in this series. The topic includes, but is not limited to the following sub-topics:
(i) Applications of viral metagenomics in veterinary virology
(ii) Comparative analysis of viral genes in veterinary virology
(iii) Molecular epidemiology and evolution analysis of veterinary virology
(iv) Recent advancements in bioinformatics in the study of emerging or re-emerging viruses in livestock
With the development of DNA sequencing technology, it is feasible to obtain genomic sequences of a microorganism in a relatively short time and at a reasonable price, creating big genomic data. Beyond the basic genome description, it is about understanding genomic functions and evolutions. Using advanced bioinformatics will help us dig in-depth into genetic characterization and evolution as well as broaden the genetic analysis to different aspects. Through high throughput sequencing, we can do gene expression analysis, functional annotation of the specific genes, and even molecular pathway prediction. Those
advantages in generating and mining genetic data are available for many fields of life sciences, including veterinary virology. Complete genomic analysis for veterinary viruses will help us broaden the insight into the study of the evolution of the viruses.
In the field of veterinary virology, with pioneering research, we have so far accumulated novel virus data in domestic to wild animals through high throughput sequencing. Previously unknown viruses and their genetic information have been continuously found and accumulated in diverse animal species, but they are still needed to be studied with many in-depth or extensive molecular-based analyses. One of the challenges for veterinary virologists has been to find fruitful information from the collected viral genomic or sequencing data, such as genetic elements related to pathogenicities (if any). New findings beyond the established results generated using advanced bioinformatics will aid in novel experimental studies in the field of veterinary virology. In the case of viruses appearing to have a clear pathogenic role, advanced bioinformatics tools will help to deepen and expand many aspects such as comparative analysis, molecular epidemiology, and molecular evolution. Along this line, there is a continuous lack of effort in studying viruses that are less known and are of less concern for which bioinformatics tools will be of great advantage. Hence, bioinformatics is an efficient and effective approach in the way that makes it usable and informative.
Taken together, it is of great interest to see the application of state-of-the-art bioinformatic tools to a large collection of genetic data of viruses. Experimental studies to support bioinformatics prediction will also strengthen our knowledge of veterinary viruses. We need to collect novel ideas on how we can apply advanced bioinformatics to veterinary virology with the collected databases as well as update our knowledge.
In this research topic, we aim to provide valuable scientific insight or contribution to the field of applying advanced bioinformatics in veterinary virology. Original Research, Review and Mini Review articles are particularly welcome in this series. The topic includes, but is not limited to the following sub-topics:
(i) Applications of viral metagenomics in veterinary virology
(ii) Comparative analysis of viral genes in veterinary virology
(iii) Molecular epidemiology and evolution analysis of veterinary virology
(iv) Recent advancements in bioinformatics in the study of emerging or re-emerging viruses in livestock
