About this Research Topic
The field of Vetinformatics, a novel integration of bioinformatics with veterinary science and livestock, serves as the backdrop for this research topic. This emerging discipline holds the potential to decode intricate molecular mechanisms in livestock, thereby enhancing livestock health, productivity, and sustainability. It can significantly contribute to our understanding of disease genetics, identification of genetic markers for breeding, and development of treatments for livestock diseases. However, despite its potential, there are still gaps in our understanding of how to best utilize this tool, particularly in the context of improving animal welfare and disease prevention.
The primary aim of this research topic is to amalgamate new knowledge related to the treatment and management of livestock diseases through the application of Vetinformatics. Furthermore, it seeks to provide valuable insights into the concept of “One Health,” emphasizing the interconnectedness of human, animal, and environmental health. This understanding will facilitate the application of in silico biology to enhance livestock productivity and sustainability, thereby addressing the pressing need for more sustainable and efficient livestock management practices.
To further our understanding within the boundaries of Vetinformatics and its application in livestock systems, we welcome articles addressing, but not limited to, the following themes: single-cell genomics for investigating the pathogenesis of livestock diseases; genome-wide association studies for investigating disease-associated SNPs in livestock; in silico assessment and prediction of the effects of non-synonymous SNPs on protein structure; study of microbial communities associated with livestock, such as the gut microbiome for livestock health and disease; investigation of drug targets and design of drug and vaccine candidates for livestock diseases using multi-omics data interaction; and utilization of in silico biology for One Health.
The primary aim of this research topic is to amalgamate new knowledge related to the treatment and management of livestock diseases through the application of Vetinformatics. Furthermore, it seeks to provide valuable insights into the concept of “One Health,” emphasizing the interconnectedness of human, animal, and environmental health. This understanding will facilitate the application of in silico biology to enhance livestock productivity and sustainability, thereby addressing the pressing need for more sustainable and efficient livestock management practices.
To further our understanding within the boundaries of Vetinformatics and its application in livestock systems, we welcome articles addressing, but not limited to, the following themes: single-cell genomics for investigating the pathogenesis of livestock diseases; genome-wide association studies for investigating disease-associated SNPs in livestock; in silico assessment and prediction of the effects of non-synonymous SNPs on protein structure; study of microbial communities associated with livestock, such as the gut microbiome for livestock health and disease; investigation of drug targets and design of drug and vaccine candidates for livestock diseases using multi-omics data interaction; and utilization of in silico biology for One Health.
Keywords: network analysis, molecular docking, Genome analysis, single cell analysis, RNAseq, microbiome, multi-omics, target identification, protein modeling, molecular dynamics, vaccine designing, veterinary medicine, Artificial intelligence, machine learning, one health
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
