Integration of multiple omics technologies including genomics, transcriptomics, proteomics, and metabolomics technologies have been a key player in biomedical applications for the last 30 years. They have contributed to medical advances that have begun both to enter clinical practice and to enable personalized medicine at the detailed molecular level. Integration of multiple technologies has emerged as an approach to provide a more comprehensive view of biology and disease. Recent advances in the development and optimization of high-throughput technologies for the generation of “omics data” have provided a deeper understanding of the processes and dynamic interactions involved in human diseases. One of the major benefits of this approach is, that it considers the whole biological system as a single source of information and obtains data-rich information from different omics platforms, and have allowed to investigate the complexity of molecular interaction networks and to highlight the main target molecules that are usually associated with the onset of the disease.
This Research Topic collection offers the potential for combining diverse types of data and highlights the utility of this approach in human health and disease, especially in the latter case for an early diagnosis. In general, no single technology can capture the complexity of the molecular events that lead to human disease. Thus, the main goal of this collection is to use different technologies that would be combined both to help diagnose disease and to create a holistic picture of human phenotypes and disease. One area of interest where multiple omics analyses have had and will continue to have an enormous impact is in cancer profiling, diagnosis, and treatment, as well as in different pathologies such as autism, neuropsychiatry, infection disease, red blood disease, etc.. The microbiome could be incorporated into integrative omics also, it has been associated with many common human diseases and it could be included into the topic collection targets. Last but not least goal could be targeted metabolomics on biomarkers discovery that holds promise in providing precise guidance for the selection of therapeutic interventions based on patient biology.
This Research Topic accepts Original Research articles, Perspectives, and Reviews. Topics of interest include, but are not limited to, the following:
- Genomics, Transcriptomics, Metabolomics, Proteomics, and Lipidomics studies with an emphasis on disease.
- Focus on new statistical and computational methods for omics data analysis and integration in diseases.
- New software and bioinformatics tools to analyze omics data and applications in biomarker discovery.
- Studies of the microbiome as well as the microbial ecology of health and disease using an alternative method as MALDI biotyping.
- Approaches for biological interpretation and pathway analysis of multi-omics data.
Integration of multiple omics technologies including genomics, transcriptomics, proteomics, and metabolomics technologies have been a key player in biomedical applications for the last 30 years. They have contributed to medical advances that have begun both to enter clinical practice and to enable personalized medicine at the detailed molecular level. Integration of multiple technologies has emerged as an approach to provide a more comprehensive view of biology and disease. Recent advances in the development and optimization of high-throughput technologies for the generation of “omics data” have provided a deeper understanding of the processes and dynamic interactions involved in human diseases. One of the major benefits of this approach is, that it considers the whole biological system as a single source of information and obtains data-rich information from different omics platforms, and have allowed to investigate the complexity of molecular interaction networks and to highlight the main target molecules that are usually associated with the onset of the disease.
This Research Topic collection offers the potential for combining diverse types of data and highlights the utility of this approach in human health and disease, especially in the latter case for an early diagnosis. In general, no single technology can capture the complexity of the molecular events that lead to human disease. Thus, the main goal of this collection is to use different technologies that would be combined both to help diagnose disease and to create a holistic picture of human phenotypes and disease. One area of interest where multiple omics analyses have had and will continue to have an enormous impact is in cancer profiling, diagnosis, and treatment, as well as in different pathologies such as autism, neuropsychiatry, infection disease, red blood disease, etc.. The microbiome could be incorporated into integrative omics also, it has been associated with many common human diseases and it could be included into the topic collection targets. Last but not least goal could be targeted metabolomics on biomarkers discovery that holds promise in providing precise guidance for the selection of therapeutic interventions based on patient biology.
This Research Topic accepts Original Research articles, Perspectives, and Reviews. Topics of interest include, but are not limited to, the following:
- Genomics, Transcriptomics, Metabolomics, Proteomics, and Lipidomics studies with an emphasis on disease.
- Focus on new statistical and computational methods for omics data analysis and integration in diseases.
- New software and bioinformatics tools to analyze omics data and applications in biomarker discovery.
- Studies of the microbiome as well as the microbial ecology of health and disease using an alternative method as MALDI biotyping.
- Approaches for biological interpretation and pathway analysis of multi-omics data.