During recent years, One Health principals are being increasingly promoted with the intention to maximize research impact. However, novel approaches are needed to benefit from research carried out in silos within different domains e.g. species or multi-omics or environmental sectors. This calls for novel methods, models and techniques leveraging big data science to yield the desired outcome faster for the betterment of advancing research impact and sustainability. These efforts urgently require more cohesive frameworks, policies, data standardizations across species and systems to leverage existing heterogeneous data resources, systems and models and to pave the way towards a new One Health research paradigm. This endeavor welcomes and embraces the potential of much needed new innovations to push the One Health paradigm, thinking, narratives and holistic solutions forward to enable cross border collaborations (between species, technology, and multiple study themes i.e. omics and exposomics) to unravel precise disease prognosis and causality with the intention of improving health and wellness of all living species. As such, holistic approaches, evidence-based research and support resources (omics data bases, tools, models and algorithms) are needed to enhance the understanding of the interconnectedness of the environment and all living species, thus speeding up the scientific discovery to benefit all species.
The main focus of this Research Topic is the real-time practical research implications and solutions to incorporate One Health principals into modern omics and precision health. One Health is often misinterpreted and regarded as an integrative science between human and animals, and overshadowed by environmental health for the benefit of global health. We thus encourage article submission within the scope of this multi-interdisciplinary science either in regard to policy, data resources, holistic systems biology approaches, bioinformatics and data sciences advancement to implement one health approaches.
We welcome Original Research, Perspectives, Review, and Mini-Review articles focusing on One Health research. The themes include, but are not limited to the following:
• Systematic analysis of multi species relationship study;
• Omics comparisons of cross species;
• Cross species evidence aggregation: gene to gene, gene to phenotype and gene/phenotype association to environmental factors
• Development of frameworks for cross and multi- species omics research
• Development of methods to study cross-species data generation, data aggregation, analysis and interpretation
• Development of technologies to advance holistic systematic studies between environment and species
• Novel data collection methods and tools to study holistic approaches understand the animal/plant/human health and the environment.
• Databases and data resources to enable One Health interpretation
-development of data standards and guidelines for data harmonization, data linking and data aggregation methods
• Novel Data linkage methods and tools to harness integrative analysis
• Novel visualization tools for environmental, multi species and multi-omic data
• Identification of novel signatures and profiles for cross-species and environmental data
During recent years, One Health principals are being increasingly promoted with the intention to maximize research impact. However, novel approaches are needed to benefit from research carried out in silos within different domains e.g. species or multi-omics or environmental sectors. This calls for novel methods, models and techniques leveraging big data science to yield the desired outcome faster for the betterment of advancing research impact and sustainability. These efforts urgently require more cohesive frameworks, policies, data standardizations across species and systems to leverage existing heterogeneous data resources, systems and models and to pave the way towards a new One Health research paradigm. This endeavor welcomes and embraces the potential of much needed new innovations to push the One Health paradigm, thinking, narratives and holistic solutions forward to enable cross border collaborations (between species, technology, and multiple study themes i.e. omics and exposomics) to unravel precise disease prognosis and causality with the intention of improving health and wellness of all living species. As such, holistic approaches, evidence-based research and support resources (omics data bases, tools, models and algorithms) are needed to enhance the understanding of the interconnectedness of the environment and all living species, thus speeding up the scientific discovery to benefit all species.
The main focus of this Research Topic is the real-time practical research implications and solutions to incorporate One Health principals into modern omics and precision health. One Health is often misinterpreted and regarded as an integrative science between human and animals, and overshadowed by environmental health for the benefit of global health. We thus encourage article submission within the scope of this multi-interdisciplinary science either in regard to policy, data resources, holistic systems biology approaches, bioinformatics and data sciences advancement to implement one health approaches.
We welcome Original Research, Perspectives, Review, and Mini-Review articles focusing on One Health research. The themes include, but are not limited to the following:
• Systematic analysis of multi species relationship study;
• Omics comparisons of cross species;
• Cross species evidence aggregation: gene to gene, gene to phenotype and gene/phenotype association to environmental factors
• Development of frameworks for cross and multi- species omics research
• Development of methods to study cross-species data generation, data aggregation, analysis and interpretation
• Development of technologies to advance holistic systematic studies between environment and species
• Novel data collection methods and tools to study holistic approaches understand the animal/plant/human health and the environment.
• Databases and data resources to enable One Health interpretation
-development of data standards and guidelines for data harmonization, data linking and data aggregation methods
• Novel Data linkage methods and tools to harness integrative analysis
• Novel visualization tools for environmental, multi species and multi-omic data
• Identification of novel signatures and profiles for cross-species and environmental data
