Clinical Proteomic Tumor Analysis Consortium 2 (CPTAC-2)

cancer genomic life sciences

Description

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics. CPTAC-2 is the Phase II of the CPTAC Initiative (2011-2016). Datasets contain open RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, and miRNA Expression Quantification data.

Update Frequency

Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers monthly data releases, although this dataset may not be updated at every release.

License

NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies

Documentation

https://cptac-data-portal.georgetown.edu/cptac/public?scope=Phase+II+%2525

Managed By

Center for Translational Data Science at The University of Chicago

See all datasets managed by Center for Translational Data Science at The University of Chicago.

Contact

dcf-support@datacommons.io

Usage Examples

Tools & Applications
Publications
  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer by Hui Zhang, Tao Liu, Zhen Zhang, Samuel H. Payne, Bai Zhang, Jason E. McDermott, Jian-Ying Zhou, Vladislav A. Petyuk, Li Chen, Debjit Ray, Shisheng Sun, Feng Yang, Lijun Chen, Jing Wang, Punit Shah, Seong Won Cha, Paul Aiyetan, Sunghee Woo, Yuan Tian, Marina A. Gritsenko, Therese R. Clauss, Caitlin Choi, Matthew E. Monroe, Stefani Thomas, Song Nie, Chaochao Wu, Ronald J. Moore, Kun-Hsing Yu, David L. Tabb, David Fenyƶ, Vineet Bafna, Yue Wang, Henry Rodriguez, Emily S. Boja, Tara Hiltke, Robert C. Rivers, Lori Sokoll, Heng Zhu, Ie-Ming Shih, Leslie Cope, Akhilesh Pandey, Bing Zhang, Michael P. Snyder, Douglas A. Levine, Richard D. Smith, Daniel W. Chan, Karin D. Rodland, the CPTAC Investigators
  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities by Suhas Vasaikar, Chen Huang, Xiaojing Wang. Vladislav A. Petyuk, Sara R. Savage, Bo Wen, Yongchao Dou, Yun Zhang, Zhiao Shi, Osama A. Arshad, Marina A. Gritsenko, Lisa J. Zimmerman, Jason E. McDermott, Therese R. Clauss, Ronald J. Moore, Rui Zhao, Matthew E. Monroe, Yi-Ting Wang, Matthew C. Chambers, Robbert J.C. Slebos, Ken S. Lau, Qianxing Mo, Li Ding, Matthew Ellis, Mathangi Thiagarajan, Christopher R. Kinsinger, Henry Rodriguez, Richard D. Smith, Karin D. Rodland, Daniel C. Liebler, Tao Liu, Bing Zhang, Clinical Proteomic Tumor Analysis Consortium
  • Proteomic analysis of colon and rectal carcinoma using standard and customized databases by Slebos RJ, Wang X, Wang X, Zhang B, Tabb DL, Liebler DC

Resources on AWS

  • Description
    RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::gdc-cptac-2-phs000892-2-open
    AWS Region
    us-east-1

Edit this dataset entry on GitHub

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