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Shankha Satpathy presents about the consortium's proteogenomic analyses of the CPTAC CPTAC Lung Adenocarcinoma Adenocarcinoma (LUAD) cohort.  This deep dive into the LUAD genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data. (Download the slides)

Proteogenomic analysis of Glioblastoma (May 13, 2020)


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Liang-Bo Wang and Runyu Hong present the consortium's proteogenomic analyses of the CPTAC CPTAC Glioblastoma (GBM) cohort cohort.  This deep dive into the GBM genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data.  (Download the slides)

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Dr. David Clarke presents the consortium's proteogenomic analyses of the CPTAC CPTAC Clear Cell Renal Cell Carcinoma Carcinoma (CCRCC) cohort cohort.  This deep dive into the CCRCC genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data. (Download the slides)  

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Emily Kawaler presents the consortium's proteogenomic analyses of the CPTAC Uterine Corpus Endometrial Carcinoma (UCEC) cohort.  This deep dive into the UCEC genomic and proteomic datasets will help researchers better understand how they can be correlated with features derived from the imaging data. (Download the slides)

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During this webinar you'll learn about a python-based open source tool (https://github.com/PayneLab/CPTAC) being developed by members of Sam Payne's lab at BYU which saves researchers the trouble of having to individually navigate the various websites where proteomic, genomic, and clinical data are stored.  The slide deck is available here: CPTAC SIG - 2019-08-06 - Easy Data Dissemination by Sam Payne.pptx

Program overview & data access tutorials (July 1, 2019)

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Agenda & Slides

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