Reinspection of a Clinical Proteomics Tumor Analysis Consortium (CPTAC) Dataset with Cloud Computing Reveals Abundant Post-Translational Modifications and Protein Sequence Variants

Reinspection of a Clinical Proteomics Tumor Analysis Consortium (CPTAC) Dataset with Cloud Computing Reveals Abundant Post-Translational Modifications and Protein Sequence Variants

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) has provided some of the most in-depth analyses of the phenotypes of human tumors ever constructed. Today, the majority of proteomic data analysis is still performed using software housed on desktop computers which limits the number of sequenc...

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Bibliographic Details
Main Authors: Amol Prakash, Lorne Taylor, Manu Varkey, Nate Hoxie, Yassene Mohammed, Young Ah Goo, Scott Peterman, Abhay Moghekar, Yuting Yuan, Trevor Glaros, Joel R. Steele, Pouya Faridi, Shashwati Parihari, Sanjeeva Srivastava, Joseph J. Otto, Julius O. Nyalwidhe, O. John Semmes, Michael F. Moran, Anil Madugundu, Dong Gi Mun, Akhilesh Pandey, Keira E. Mahoney, Jeffrey Shabanowitz, Satya Saxena, Benjamin C. Orsburn
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Cancers
Subjects:
cloud computing
proteomics
CPTAC
proteogenomics
post-translational modifications
tumor proteomics
Online Access:https://www.mdpi.com/2072-6694/13/20/5034

Internet

https://www.mdpi.com/2072-6694/13/20/5034

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