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. 2020 Oct 29;49(D1):D825–D830. doi: 10.1093/nar/gkaa894

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© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 1. — Overview of the Aging Atlas database. Aging Atlas provides a platform for joint analysis of aging-related omics data, as well as online tools to visualize and compare these data. The current implementation of Aging Atlas includes five modules: transcriptomics (RNA-seq), single-cell transcriptomics (scRNA-seq), epigenomics (ChIP-seq), proteomics (protein–protein interaction), and pharmacogenomics (geroprotective compounds), which will be expanded according to the needs of aging research and the availability of data.