Advancing cancer research and
precision medicine

Dr. Aditi Hazra from Brigham and Women’s Hospital and Harvard Medical School presents a multi-omic approach to inflammatory breast cancer (IBC) biomarker discovery.

See why Dr. Hazra believes that combining somatic mutation, copy number variation (CNV), and gene expression data will increase the probability of identifying biomarkers, especially when compared to evaluating DNA alone.

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Understand whole-transcriptome
(WT) profiling

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Obtain genome-wide copy number (CN)
in 48 hours

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Easily integrate CN and WT data 

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