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Clinical Cancer Genomics
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Genome-wide analysis using molecular inversion probe (MIP) technology
Robust and highly reproducible gene expression analysis integration in oncology clinical trials
Point mutation analysis using massively parallel sequencing technologies
QC metrics and bioinformatic integration - facilitating development of genomic diagnostics in oncology
Low-cost, highly scalable clinical sample management systems
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