The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research
| Autor: | Damir Krstanovic, Brandi N. Davis-Dusenbery, Nick Groves-Kirkby, Gaurav Kaushik, Raunaq Malhotra, Aleksandar Mihajlovic, Vladimir Mladenović, Deniz Kural, Dragan Bajcic, Mladen Srdic, Igor Bogicevic, Jack DiGiovanna, Erik M. Lehnert, Jelena Radenkovic, Djordje Klisic, Zeynep Onder, V. Arsenijevic, Anurag Sethi, Milan Mitrovic, Jessica W. Lau |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Cancer Research Computer science Genomics Cloud computing Bioinformatics 03 medical and health sciences Software Neoplasms Humans Internet Genome Human business.industry Research Software development Computational Biology Data science ComputingMethodologies_PATTERNRECOGNITION 030104 developmental biology Workflow Data access Oncology Scalability The Internet business |
| Zdroj: | Cancer Research. 77:e3-e6 |
| ISSN: | 1538-7445 0008-5472 |
| DOI: | 10.1158/0008-5472.can-17-0387 |
| Popis: | The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Cancer Genome Atlas. It provides secure on-demand access to data, analysis tools, and computing resources. Researchers from diverse backgrounds can easily visualize, query, and explore cancer genomic datasets visually or programmatically. Data of interest can be immediately analyzed in the cloud using more than 200 preinstalled, curated bioinformatics tools and workflows. Researchers can also extend the functionality of the platform by adding their own data and tools via an intuitive software development kit. By colocalizing these resources in the cloud, the CGC enables scalable, reproducible analyses. Researchers worldwide can use the CGC to investigate key questions in cancer genomics. Cancer Res; 77(21); e3–6. ©2017 AACR. |
| Databáze: | OpenAIRE |
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