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The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational
Jessica W Lau1, Erik Lehnert1, Anurag Sethi1
1Seven Bridges Genomics, Cambridge, Massachusetts.
Cancer Research
|November 3, 2017
Summary
The Seven Bridges Cancer Genomics Cloud (CGC) provides researchers with secure access to large cancer genomic datasets and analysis tools. This platform facilitates scalable and reproducible cancer genomics research globally.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Cancer genomics research generates massive datasets.
- Accessing and analyzing these datasets is challenging.
- The Cancer Genome Atlas (TCGA) is a key resource.
Purpose of the Study:
- To introduce the Seven Bridges Cancer Genomics Cloud (CGC).
- To highlight its capabilities for accessing and analyzing cancer genomic data.
- To promote collaborative and reproducible cancer genomics research.
Main Methods:
- Cloud-based platform providing secure data access.
- Integration of The Cancer Genome Atlas (TCGA) data.
- Availability of over 200 bioinformatics tools and workflows.
- Software Development Kit (SDK) for custom data and tool integration.
Main Results:
- Enables rapid access and collaboration on public cancer genomic datasets.
- Facilitates visualization, querying, and programmatic exploration of data.
- Supports immediate analysis of data using preinstalled tools.
- Allows extension of platform functionality with user-added data and tools.
Conclusions:
- The CGC enables scalable, reproducible cancer genomics analyses.
- It empowers researchers worldwide to investigate key questions in cancer genomics.
- The platform fosters collaboration and accelerates discovery in the field.
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