Livestock is playing a crucial role in the growth and development of human civilization from the beginning and is considered an integral part of society. In the era of modernization and industrial developments, natural resources are declining, leading to climate change throughout the world. As a result, several types of diseases are now emerged, reducing livestock productivity. Besides, the rapidly growing human population requires enough food to fulfill the demand of people. Therefore, it is an urgent need to adopt innovative approaches to solve complex problems in veterinary sciences to increase their productivity quantitatively and qualitatively. The new scientific and technology-based approaches have allowed us to address several concerns and challenges that face today’s veterinary and form system, as well as offer us new prospects. Recent advances in multi-omics have made a tremendous resource for genetic and genomic information for livestock that needs to be transformed into the knowledge for breeding, disease management, and their productivity as well as sustainability. Vetinformatics is recognized as a science of the 21st century for revolution in the area of veterinary sciences which is a novel combined concept between Veterinary/Livestock Science and in silico Biology. It uses interdisciplinary approaches for decoding the intricate molecular mechanism of livestock systems for managing their health, productivity and sustainability. The applications of vetinformatics to the study of livestock have important implications in insuring food and nutritional security of rapidly growing world populations.
This Research Topic's main goal is to provide important research and review papers in the field of vetinformatics application in livestock research. We want to look into tremendous potential of in silico biology approaches to solve mystery in the area of veterinary sciences and how it works. We intend to bring together scientists working in the fields of veterinary sciences by using in silico tools and databases from around the world on a single platform.
The following themes are welcome with applications in veterinary sciences but not are limited to:
- Genome assembly and annotation
- Transcriptome data analyses
- Metagenomics analysis
- Genome wide association studies
- Multi-omics integration
- Systems and network biology
- Computer-aided drug designing
- Computational vaccine designing
- Development of databases and tools
- Machine learning approaches in veterinary sciences
Livestock is playing a crucial role in the growth and development of human civilization from the beginning and is considered an integral part of society. In the era of modernization and industrial developments, natural resources are declining, leading to climate change throughout the world. As a result, several types of diseases are now emerged, reducing livestock productivity. Besides, the rapidly growing human population requires enough food to fulfill the demand of people. Therefore, it is an urgent need to adopt innovative approaches to solve complex problems in veterinary sciences to increase their productivity quantitatively and qualitatively. The new scientific and technology-based approaches have allowed us to address several concerns and challenges that face today’s veterinary and form system, as well as offer us new prospects. Recent advances in multi-omics have made a tremendous resource for genetic and genomic information for livestock that needs to be transformed into the knowledge for breeding, disease management, and their productivity as well as sustainability. Vetinformatics is recognized as a science of the 21st century for revolution in the area of veterinary sciences which is a novel combined concept between Veterinary/Livestock Science and in silico Biology. It uses interdisciplinary approaches for decoding the intricate molecular mechanism of livestock systems for managing their health, productivity and sustainability. The applications of vetinformatics to the study of livestock have important implications in insuring food and nutritional security of rapidly growing world populations.
This Research Topic's main goal is to provide important research and review papers in the field of vetinformatics application in livestock research. We want to look into tremendous potential of in silico biology approaches to solve mystery in the area of veterinary sciences and how it works. We intend to bring together scientists working in the fields of veterinary sciences by using in silico tools and databases from around the world on a single platform.
The following themes are welcome with applications in veterinary sciences but not are limited to:
- Genome assembly and annotation
- Transcriptome data analyses
- Metagenomics analysis
- Genome wide association studies
- Multi-omics integration
- Systems and network biology
- Computer-aided drug designing
- Computational vaccine designing
- Development of databases and tools
- Machine learning approaches in veterinary sciences
