We developed TCPA, a user-friendly web platform to analyze and visualize RPPA-based cancer functional proteomics data. This is despite proteins comprising the basic functional units in various biological processes and being major targets for many current cancer drugs. In contrast to the recent exploration of next-generation sequencing at both DNA and RNA levels, access to high-quality, large-scale proteomic data has been relatively limited in cancer research.

T he Cancer Proteome Atlas (TCPA): a major bioinformatics resource for cancer proteomics data using reverse-phase protein arrays (RPPAs) As both an active researcher and administrator, she has insight into how to translate data into real-world solutions to help diagnose, prevent, and treat cancer. She is pursuing a research agenda in descriptive epidemiology and etiology of brain tumors as a senior intramural investigator in NCI’s Division of Cancer Epidemiology and Genetics Trans-Divisional Research Program. She leads efforts at CBIIT to shape informatics and data science strategies and foster collaboration across the cancer research community. Barnholtz-Sloan is the associate director of the informatics and data science program.

She will also highlight some of the work done in her research group.ĭr. In her talk, Using “Big Data” to Examine Sex Differences in Cancer: Glioma as an Exemplar, Jill will focus on using available data sets to examine the role that sex differences play in cancer.

The registration process requires creating an account, which is different than becoming a member. If you’re attending the 2023 Organization for the Study of Sex Differences (OSSD) annual meeting from May 7-11, you’ll have the opportunity to hear about big data and cancer from NCI’s Dr.

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