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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3,624 Submissions
2,116 Projects
17,009 Files
64.55 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 ( accession no.OMIXxxx).

Please cite the following required publication:
The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types.
Genomics, Proteomics & Bioinformatics 2021.

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. Nucleic Acids Res 2022, 50(D1):D27-D38. [PMID=34718731]