eJoin Join the CPTAC Imaging Special Interest Group to be notified of webinars & data releases, collaborate on common data wrangling tasks and seek out partners to explore research hypotheses! Announcements about upcoming webinars and artifacts from previous events can be found below.
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Proteogenomic analysis of Lung
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Adenocarcinoma (
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July 22, 2020)
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Shankha Satpathy presents about the consortium's proteogenomic
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analyses of the
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Adenocarcinoma (LUAD) cohort. This deep dive into the
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LUAD genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data.
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Webex Details:
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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 Glioblastoma (GBM) 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)
NCI-OCCPR Webinar: The Cancer Imaging Archive (March 18, 2020)
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In collaboration with NCI's Office of Cancer Clinical Proteomics Research (OCCPR), Justin Kirby presents an overview of The Cancer Imaging Archive (TCIA) and its support for the Clinical Proteomics Tumor Analysis Consortium (CPTAC) imaging data. In this webinar he provides an overview of TCIA functionality and datasets with a special emphasis on the >1500 radiology and histology cases associated with the CPTAC patient cohorts. He also discusses how to access clinical, proteomic, and genomic data found in other CPTAC resources to facilitate correlation studies across multiple data types. (Download the slides)
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Proteogenomic analysis of Clear Cell Renal Cell Carcinoma (February 4, 2020)
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Agenda & Slides
Dr. David Clarke presents Please join us at 12pm Eastern on January 14, 2020 for Dr. David Clarke's presentation about the consortium's proteogenomic analysis 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.
Webex Details:
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Proteogenomic analysis of Uterine Corpus Endometrial Carcinoma (January 14, 2020)
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video/385284266" width="640" height="400" frameborder="0" allow="autoplay; fullscreen" allowfullscreen></iframe> |
Agenda & Slides
Emily Kawaler presents
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Proteogenomic analysis of Uterine Corpus Endometrial Carcinoma (January 14, 2020)
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the consortium's proteogenomic
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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
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they can be correlated with features derived from the imaging data
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Webex Details:
Tuesday, Jan 14, 2020 12:00 pm | 1 hour | (UTC-05:00) Eastern Time (US & Canada)
https://cbiit. webex.com/cbiit/j.php?MTID=mcad1839a0555c51210dac7b10549fdb8
Meeting number: 732 017 821
Password: DxhwwM3*
Phone: 1-650-479-3207 Call-in toll number (US/Canada)
Access code: 732 017 821(Download the slides)
Imaging-Omic correlation studies utilizing CPTAC data (September 9, 2019)
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Agenda & Slides
1) Dr. Olivier Gevaert is an assistant professor at Stanford University focused on developing machine-learning methods for biomedical decision support from multi-scale data. His lab lab develops machine learning methods including Bayesian, kernel methods, regularized regression and deep learning to integrate, clinical, molecular and biomedical image data. His presentation will show an example of how to process proteomic data from CPTAC Phase 2 projects (breast, ovarian and colorectal) with emphasis on how to use, preprocess and subsequently model proteomic data using bioinformatics algorithms. He will show an example of linking protein data to DNA methylation and mRNA gene expression data, and how proteomic data can be integrated with medical image 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
- Welcome (Bob Nordstrom)
- Clinical Proteomic Tumor Analysis Consortium (CPTAC) Project Overview (Chris Kinsinger, 15min)
- CPTAC radiology & pathology image data at TCIA – live demo (Justin Kirby, 15min)
- CPTAC Data Portal and the Proteomics Data Commons (R. Rajesh Thangudu, 30min)
- CPTAC genomic data at the Genomics Data Commons (Ana Robles, 15min)
- Q&A (15min)
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