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Supplementary Video S1 from The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research

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posted on 2024-07-24, 21:00 authored by Jessica W. Lau, Erik Lehnert, Anurag Sethi, Raunaq Malhotra, Gaurav Kaushik, Zeynep Onder, Nick Groves-Kirkby, Aleksandar Mihajlovic, Jack DiGiovanna, Mladen Srdic, Dragan Bajcic, Jelena Radenkovic, Vladimir Mladenovic, Damir Krstanovic, Vladan Arsenijevic, Djordje Klisic, Milan Mitrovic, Igor Bogicevic, Deniz Kural, Brandi Davis-Dusenbery

Video 1. Narrated screencast highlighting the major features of the CGC. For additional videos, tutorials and user guides, visit the knowledge center (docs.cancergenomicscloud.org)

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ARTICLE ABSTRACT

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.

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