Clinical Proteomic Tumor Analysis Consortium 2 (CPTAC-2)
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Clinical Proteomic Tumor Analysis Consortium 2 (CPTAC-2)
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.
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.
License
NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies
How to cite
Clinical Proteomic Tumor Analysis Consortium 2 (CPTAC-2) was accessed on DATE from https://registry.opendata.aws/cptac-2 .
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.
Support information
Contact: dcf-support@datacommons.io
General AWS Data Exchange support
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-openAWS Region
us-east-1AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://gdc-cptac-2-phs000892-2-open/Usage examples
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 Fenyö, 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