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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7,026 Submissions
4,496 Projects
37,126 Files
1,032 Articles
127.97 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 Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types.
Genomics, Proteomics & Bioinformatics 2021. https://doi.org/10.1016/j.gpb.2021.08.001
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024. Nucleic Acids Res 2024, 52(D1):D18-D32. https://doi.org/10.1093/nar/gkad1078 [PMID=38018256]

Help

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

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

For Other Releated Resources:

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