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Decrypt Central Dogma,Focus on New Biological Discoveries

Through multi-omics research, biological data integration and analysis, machine intelligence, multi-dimensional full life cycle data integration and computational analysis, iCarbonX has efficiently promoted the basic scientific discoveries of partners in the field of life science and health, and has provided strong support for the innovation and development of partners in the field of disease prevention, diagnosis, treatment and health care, and meanwhile accelerated the development of next-generation diagnostic technology, vaccine research and development , biomedcine,and other related industries.

Complete One-stop Multi-omics Laboratory

iCarbonX has a large laboratory with world-class construction standards, and has created a one-stop research and development system of genomics, proteomics, immunomics, microbiome, metabolomics, cell platform and instrument platform facilitating the research of life science and clinical problems. The one-stop multi-omics laboratory and integrated data analysis platform can take full advantage of the interactions at all levels of biology to fully demonstrate the underlying biological mechanisms and improve the success rate of discovering biomarkers and targets of biomedical significance.

Since 2019, iCarbonX has refocused on opening our multi-omics laboratory and integrated data analysis platform to empower biopharmaceutical and biotechnology companies to jointly promote the development of new diagnostic products, vaccines and pharmaceutical products.

"To have a deep understanding of diabetes, we should dig into diet, intestinal microbes, genes, proteins, metabolics–not just insulin."
iCarbonX Founder Jun Wang
"To have a deep understanding of diabetes, we should dig into diet, intestinal microbes, genes, proteins, metabolics–not just insulin."
iCarbonX Founder Jun Wang
"To have a deep understanding of diabetes, we should dig into diet, intestinal microbes, genes, proteins, metabolics–not just insulin."
iCarbonX Founder
Jun Wang
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