Global Alliance for Genomics and Health Meets Bioconductor: Toward Reproducible and Agile Cancer Genomics at Cloud Scale
| Autor: | Marcel Ramos, Vincent J. Carey, Levi Waldron, Martin Morgan, Benjamin J. Stubbs, Sehyun Oh, Shweta Gopaulakrishnan, Nitesh Turaga |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Computational Biology Genomics Cloud computing General Medicine Data science Workflow Bioconductor Alliance Scale (social sciences) Neoplasms Original Reports Special Series: Informatics Tools for Cancer Research and Care Humans Democratization business Analysis method Software Agile software development |
| Zdroj: | JCO Clinical Cancer Informatics |
| ISSN: | 2473-4276 |
| Popis: | PURPOSE Institutional efforts toward the democratization of cloud-scale data and analysis methods for cancer genomics are proceeding rapidly. As part of this effort, we bridge two major bioinformatic initiatives: the Global Alliance for Genomics and Health (GA4GH) and Bioconductor. METHODS We describe in detail a use case in pancancer transcriptomics conducted by blending implementations of the GA4GH Workflow Execution Services and Tool Registry Service concepts with the Bioconductor curatedTCGAData and BiocOncoTK packages. RESULTS We carried out the analysis with a formally archived workflow and container at dockstore.org and a workspace and notebook at app.terra.bio. The analysis identified relationships between microsatellite instability and biomarkers of immune dysregulation at a finer level of granularity than previously reported. Our use of standard approaches to containerization and workflow programming allows this analysis to be replicated and extended. CONCLUSION Experimental use of dockstore.org and app.terra.bio in concert with Bioconductor enabled novel statistical analysis of large genomic projects without the need for local supercomputing resources but involved challenges related to container design, script archiving, and unit testing. Best practices and cost/benefit metrics for the management and analysis of globally federated genomic data and annotation are evolving. The creation and execution of use cases like the one reported here will be helpful in the development and comparison of approaches to federated data/analysis systems in cancer genomics. |
| Databáze: | OpenAIRE |
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