Open Archive for Miscellaneous Data

We collect the genomics data from transcriptome, epigenome, microarray,
the functional genomics data such as lipidome, metabolome, proteome,
and other types of scientific data related to research.

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10,013 Submissions
6,814 Projects
64,528 Files
1,696 Articles
182.28 Data Size(TB)

How to Cite

When you have successfully submitted data to OMIX, please consider using the following words to describe data deposition in your manuscript:

The data reported in this paper have been deposited in the OMIX, China National Center for Bioinformation / Beijing Institute of Genomics, Chinese Academy of Sciences (https://ngdc.cncb.ac.cn/omix: accession no.OMIXxxx).

Please cite the following publications:
The GSA Family in 2025: A Broadened Sharing Platform for Multi-Omics and Multimodal Data.
Genomics, Proteomics & Bioinformatics 2025. https://doi.org/10.1093/gpbjnl/qzaf072
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025. Nucleic Acids Res 2025, Jan 6;53(D1):D30-D44. https://doi.org/10.1093/nar/gkae978 [PMID=39530327]

Help

If you have any question, please feel free to contact us. We highly appreciate your comments and suggestions for further improvements.

Email: gsa@cncb.ac.cn
QQ group: 516418530

For Other Releated Resources:

Genome Sequence Archive (GSA)
 GSA for Human
 BioProject
 more resources >