Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

URL: https://bigd.big.ac.cn/aging/index
Full name: Aging Atlas
Description: Aging Atlas aims to compile large gene expression and regulation datasets created by a range of high-throughput omics technologies and serve as a valuable resource for a range of life science researchers. The current implementation includes five modules: transcriptomics, epigenomics, single-cell transcriptomics, proteomics, and pharmacogenomics. Aging Atlas provides user-friendly functionalities to explore age-related changes in gene expression and provides download services for raw multi-omics data from aging-related research.
Year founded: 2020
Last update: 2020-10-29
Version: 1.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China

Classification and Labelling

Data type:
RNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): The Aging Atlas Team
Contact email (PI/Helpdesk): agingatlas@big.ac.cn

Publications

33119753
Aging Atlas: a multi-omics database for aging biology. [PMID: 33119753]
Aging Atlas Consortium.

Organismal aging is driven by interconnected molecular changes encompassing internal and extracellular factors. Combinational analysis of high-throughput 'multi-omics' datasets (gathering information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and pharmacogenomics), at either populational or single-cell levels, can provide a multi-dimensional, integrated profile of the heterogeneous aging process with unprecedented throughput and detail. These new strategies allow for the exploration of the molecular profile and regulatory status of gene expression during aging, and in turn, facilitate the development of new aging interventions. With a continually growing volume of valuable aging-related data, it is necessary to establish an open and integrated database to support a wide spectrum of aging research. The Aging Atlas database aims to provide a wide range of life science researchers with valuable resources that allow access to a large-scale of gene expression and regulation datasets created by various high-throughput omics technologies. The current implementation includes five modules: transcriptomics (RNA-seq), single-cell transcriptomics (scRNA-seq), epigenomics (ChIP-seq), proteomics (protein-protein interaction), and pharmacogenomics (geroprotective compounds). Aging Atlas provides user-friendly functionalities to explore age-related changes in gene expression, as well as raw data download services. Aging Atlas is freely available at https://bigd.big.ac.cn/aging/index.

Nucleic Acids Res. 2021:49(D1) | 19 Citations (from Europe PMC, 2022-05-14)

Ranking

All databases:
497/5177 (90.419%)
Raw bio-data:
37/510 (92.941%)
Expression:
76/989 (92.417%)
Modification:
26/251 (90.04%)
497
Total Rank
19
Citations
19
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2020-11-08
Curated by:
Dong Zou [2021-09-15]
lin liu [2021-03-24]
Yuansheng Zhang [2020-11-20]
Chang Liu [2020-11-08]