Case Study: UT MD Anderson Cancer Center speeds leukemia proteomics analysis with Qlucore Omics Explorer

UT MD Anderson Cancer Center cuts proteomics analysis from months to under an hour with Qlucore

The UT MD Anderson Cancer Center, specifically Professor Steven Kornblau's laboratory, faced significant delays in its leukemia proteomics research due to a reliance on overburdened bioinformaticians and statisticians for complex data analysis. Their work with a vast repository of patient samples and reverse phase protein arrays generated huge, complex datasets that required in-depth statistical expertise they could not access quickly. This dependency created a major bottleneck, slowing down their research process for years.

By implementing Qlucore Omics Explorer, the center empowered its researchers to perform their own sophisticated data analysis. Professor Kornblau reported that Qlucore allowed him to independently explore data, check biological relevance, and generate insightful heatmaps, which dramatically sped up discovery. The solution reduced the wait time for results from months to under an hour, enabling more frequent and interactive data exploration and facilitating new discoveries in the fight against leukemia.

UT MD Anderson Cancer Center