Transcriptomics and epigenetic data integration learning module on Google Cloud.

ABSTRACT: Multi-omics (genomics, transcriptomics, epigenomics, proteomics, metabolomics, etc.) research approaches are vital for understanding the hierarchical complexity of human biology and have proven to be extremely valuable in cancer research and precision medicine. Emerging scientific advances in recent years have made high-throughput genome-wide sequencing a central focus in molecular research by allowing for the collective analysis of various kinds of molecular biological data from different types of specimens in a single tissue or even at the level of a single cell. Additionally, with the help of improved computational resources and data mining, researchers are able to integrate data from different multi-omics regimes to identify new prognostic, diagnostic, or predictive biomarkers, uncover

SUBMITTER: Ruprecht NA 

PROVIDER: S-EPMC11299028 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature