Characterizing the omics landscape based on 10,000+ datasets.

ABSTRACT: The characteristics of data produced by omics technologies are pivotal, as they critically influence the feasibility and effectiveness of computational methods applied in downstream analyses, such as data harmonization and differential abundance analyses. Furthermore, variability in these data characteristics across datasets plays a crucial role, leading to diverging outcomes in benchmarking studies, which are essential for guiding the selection of appropriate analysis methods in all omics fields. Additionally, downstream analysis tools are often developed and applied within specific omics communities due to the presumed differences in data characteristics attributed to each omics technology. In this study, we investigate over ten thousand datasets to understand how proteomics, metabolomic

SUBMITTER: Brombacher E 

PROVIDER: S-EPMC11762699 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature