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PANOPLY: A cloud-based platform for automated and reproducible proteogenomic data analysis

By D R Mani, Myranda Maynard, Ramani Kothadia, Karsten Krug, Karen E Christianson, David Heiman, Karl R. Clauser, Chet Birger, Gad Getz, Steven A Carr

Posted 07 Dec 2020
bioRxiv DOI: 10.1101/2020.12.04.410977

Proteogenomics involves the integrative analysis of genomic, transcriptomic, proteomic and post-translational modification data produced by next-generation sequencing and mass spectrometry-based proteomics. Several publications by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and others have highlighted the impact of proteogenomics in enabling deeper insight into the biology of cancer and identification of potential drug targets. In order to encapsulate the complex data processing required for proteogenomics, and provide a simple interface to deploy a range of algorithms developed for data analysis, we have developed PANOPLY--a cloud-based platform for automated and reproducible proteogenomic data analysis. A wide array of algorithms have been implemented, and we highlight the application of PANOPLY to the analysis of cancer proteogenomic data.

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