Recent advances in genomic technologies have enabled a surge in multi-omics big data (genomics, transcriptomics, epigenomics, metabolomics, proteomics, microbiomics etc), and have significantly accelerated scientific discoveries in cardiovascular (CV) research. Accompanying the growing volume and diversity of multi-omics big data are new challenges and opportunities in data sharing, data harmonization, analytical methods for integration across data types, and applications in cardiometabolic studies.
This Research Topic aims to bring cardiovascular researchers from multi-disciplinary backgrounds together to share expertise in diverse aspects of multi-omics data integration within the scope of basic and translational CV research. The themes will be centered around CV research and will range from: cutting-edge methods for multi-omics data acquisition (such as single cell multi-omics), multi-omics data resources, platforms to facilitate data sharing, challenges and approaches for data harmonization and integration, new computational and bioinformatics methodologies and algorithms enabling multi-omics integration, and applications of multi-omics approaches in studies of cardiovascular and cardiometabolic disease risks to improve our understanding of disease mechanisms. We welcome multiple types of manuscripts including original research articles, reviews or mini-reviews, opinions, hypotheses, or theories.
Recent advances in genomic technologies have enabled a surge in multi-omics big data (genomics, transcriptomics, epigenomics, metabolomics, proteomics, microbiomics etc), and have significantly accelerated scientific discoveries in cardiovascular (CV) research. Accompanying the growing volume and diversity of multi-omics big data are new challenges and opportunities in data sharing, data harmonization, analytical methods for integration across data types, and applications in cardiometabolic studies.
This Research Topic aims to bring cardiovascular researchers from multi-disciplinary backgrounds together to share expertise in diverse aspects of multi-omics data integration within the scope of basic and translational CV research. The themes will be centered around CV research and will range from: cutting-edge methods for multi-omics data acquisition (such as single cell multi-omics), multi-omics data resources, platforms to facilitate data sharing, challenges and approaches for data harmonization and integration, new computational and bioinformatics methodologies and algorithms enabling multi-omics integration, and applications of multi-omics approaches in studies of cardiovascular and cardiometabolic disease risks to improve our understanding of disease mechanisms. We welcome multiple types of manuscripts including original research articles, reviews or mini-reviews, opinions, hypotheses, or theories.
