Multi-omics integration in biomedical research - A metabolomics-centric review.

ABSTRACT: Recent advances in high-throughput technologies have enabled the profiling of multiple layers of a biological system, including DNA sequence data (genomics), RNA expression levels (transcriptomics), and metabolite levels (metabolomics). This has led to the generation of vast amounts of biological data that can be integrated in so-called multi-omics studies to examine the complex molecular underpinnings of health and disease. Integrative analysis of such datasets is not straightforward and is particularly complicated by the high dimensionality and heterogeneity of the data and by the lack of universal analysis protocols. Previous reviews have discussed various strategies to address the challenges of data integration, elaborating on specific aspects, such as network inference or feature sele

SUBMITTER: Worheide MA 

PROVIDER: S-EPMC7701361 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature