The China National Genebank (Shenzhen), known as CNGB, is a national non-profit institute supported by the government of China.

CNGB, as an unincorporated international collaborative institute, is devoted to the comprehensive collection of biological resources (including specimens from humans, and other animals, plants and microorganisms) preservation, bioinformatics data generation and a global network establishment to promote information sharing and exchange. CNGB operates through collaborative activities between universities, hospitals and scientific institutes that share an interest in biobanking, resource utilization and bioinformatics.

CNGB is committed to developing a biobank consortium across China and the construction of an expanding network worldwide to provide a platform for information sharing and exchange of Biobank materials, omics data acquisition, and multi-omics scientific research. Working closely with ethical review boards and regulations to secure the data , CNGB has set itself the principal task of integrating the contribution of bioresources data into an omics database that will support both scientific research and commercial applications, such as translational medicine, breeding and new energy exploitation.

Our database

The CNGB database operates like a library of life science collected from scientific experiments, the published literature, high-throughput sequencing and computational analyses.
The database contains information from genomics, transcriptomics, proteomics, metabolomics, epigenomics and clinical phenotyping data.
Omics database focuses on:

Storing omics data

Mass multi-omics data can be saved depending on "Cloud" storage strategy, serving as the basis for future scientific research projects.

Allowing bioinformatics retrieval

Bioinformation retrieval, comparison, analysis and sharing are available through the database.

Serving life sciences research

The database functions as a platform to supply data retrieval, exchange and communication for scientific researchers.

Accessing Multiple Information

Information stored in the database should be widely utilizable in multiple areas, such as animal and plant breeding, agriculture, new energy exploitation, personalized medicine, digital health and so on.