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Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data.


ABSTRACT: Next-generation sequencing has produced petabytes of data, but accessing and analyzing these data remain challenging. Traditionally, researchers investigating public datasets like The Cancer Genome Atlas (TCGA) would download the data to a high-performance cluster, which could take several weeks even with a highly optimized network connection. The National Cancer Institute (NCI) initiated the Cancer Genomics Cloud Pilots program to provide researchers with the resources to process data with cloud computational resources. We present protocols using one of these Cloud Pilots, the Seven Bridges Cancer Genomics Cloud (CGC), to find and query public datasets, bring your own data to the CGC, analyze data using standard or custom workflows, and benchmark tools for accuracy with interactive analysis features. These protocols demonstrate that the CGC is a data-analysis ecosystem that fully empowers researchers with a variety of areas of expertise and interests to collaborate in the analysis of petabytes of data. © 2017 by John Wiley & Sons, Inc.

SUBMITTER: Malhotra R 

PROVIDER: S-EPMC5726550 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data.

Malhotra Raunaq R   Seth Isheeta I   Lehnert Erik E   Zhao Jing J   Kaushik Gaurav G   Williams Elizabeth H EH   Sethi Anurag A   Davis-Dusenbery Brandi N BN  

Current protocols in bioinformatics 20171208


Next-generation sequencing has produced petabytes of data, but accessing and analyzing these data remain challenging. Traditionally, researchers investigating public datasets like The Cancer Genome Atlas (TCGA) would download the data to a high-performance cluster, which could take several weeks even with a highly optimized network connection. The National Cancer Institute (NCI) initiated the Cancer Genomics Cloud Pilots program to provide researchers with the resources to process data with clou  ...[more]

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