The Cancer Genomics Cloud (CGC), powered by Seven Bridges, is one of three pilot systems funded by the National Cancer Institute to explore the paradigm of colocalizing massive genomics datasets, like The Cancer Genomics Atlas (TCGA), alongside secure and scalable computational resources to analyze them. The CGC makes more than a petabyte of multi-dimensional data available immediately to authorized researchers. You can add your own data to analyze alongside TCGA using predefined analytical workflows or your own tools. Every execution is fully reproducible, and collaborating with your team is simple and secure.
Start working now
Join the more than 1,500 other researchers from across the globe who are currently using the CGC to explore and analyze TCGA. Get started by logging in below, and also don't miss our videos, tutorials, and user guide for more information about how the CGC can help you learn from large genomics datasets faster.
Credits to support your research
An important goal of the CGC is to understand how researchers can use cloud computing resources to analyze their data. Unlike traditional models, where the cost of compute and data storage is paid up front, on the CGC you only incur costs as you run an analysis.
However, we've found that it can be daunting to try to learn a system while worrying about analysis costs. For this reason, the NCI has generously provided substantial funds to support your compute and storage on the CGC as you are getting familiar with the platform. When you create an account on the CGC, you'll be automatically granted $300 in credits. Have a big project in mind? Submit a collaborative project request to access up to $10,000 in credits.
Of course, once you've used the credits, you can contact us to create a billing group that can be supported via a credit card or purchase order.
Explore a growing list of publications describing how the CGC is being used to support new and emerging research.
Meet us at one of the numerous conferences or workshops listed on the calendar or receive updates by following us on Twitter.
This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN261201400008C.