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PANOPLY: a cloud-based platform for automated and reproducible proteogenomic data analysis
- Source :
- Nat Methods
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- 0303 health sciences
business.industry
Interface (computing)
Reproducibility of Results
Cloud computing
Cell Biology
Computational biology
Cloud Computing
Proteogenomics
Proteomics
Biochemistry
Article
03 medical and health sciences
Automation
ComputingMethodologies_PATTERNRECOGNITION
business
Molecular Biology
Algorithms
030304 developmental biology
Biotechnology
Subjects
Details
- ISSN :
- 15487105
- Volume :
- 18
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Nature methods
- Accession number :
- edsair.doi.dedup.....e0fae3205f4581f81cd36b753a8afa70