Open Archive for Miscellaneous Data

OMIX collects a broad spectrum of biological data, including transcriptomic, proteomic, epigenomic, lipidomic, and metabolomic datasets generated by sequencing, microarray, and other experimental technologies, as well as other types of related scientific data.

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11,089 Submissions
7,633 Projects
75,255 Files
1,948 Articles
194.76 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]

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For Other Releated Resources:

Genome Sequence Archive (GSA)
 GSA for Human
 BioProject
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