PUBLIC PROJECTS & 800+ TOOLS FOR ANALYSIS

The CGC not only enables access to petabytes of data but also provides 800+ tools and workflows to perform bioinformatic analysis. These tools include numerous variant callers for germline and somatic mutations, RNA-seq analysis workflows, Chip-seq analysis and peak calling, proteomic pipelines, imaging processing, among others. Check out our Public Apps gallery.

Don’t know how to program? Not a problem! Our graphical workflow editor provides an easy way to build and customize these workflows to fit your desired analyses.

UPLOAD YOUR DATA AND ANALYZE IT ON THE CLOUD

You can securely bring your private data to the CGC to analyze it along with other large datasets. The CGC takes the security of your data seriously. As one of three NIH trusted partners who host and distribute publicly available and controlled access data, we have taken every necessary precaution to guarantee the security of data on the cloud.

You can Upload your data to the CGC in several different ways, designed to meet a range of needs: 

• Upload from your computer

• Upload via the command line

• Import from an FTP or HTTP(S) server

• Upload via the API

• Import from a Volume

SHARE DATA AND RESULTS IN REAL TIME

Collaboration is fundamental to any biomedical research; many publications are only made possible by interdisciplinary groups of researchers each bringing their unique skill sets to the table. For instance, a typical cancer research program involves physicians collecting tumor samples, biologists experimenting on the wet bench, sequencing facilities producing omics data, tool developers applying their tools to the data and building workflows, bioinformaticians executing analyses and optimizing protocols, and, of course, PIs overseeing the project. This basic scenario becomes far more complex when multiple institutions are involved, emphasizing the need for practical and secure collaboration tools.

EASY COLLABORATION

The CGC provides an intuitive collaboration environment, supporting teams to work together on projects. You can invite collaborators to your project by assigning them fine-grained control permissions so that they have as much or as little access to the project resources as you choose. For instance, you can allow collaborators to execute analyses or limit their access to view results only. 

PROJECT-LEVEL SECURITY

Several public datasets, like TCGA, include Controlled Data that should not be distributed to unauthorized persons. To help you ensure the security of your projects with Controlled Data, these are locked by default and can only be shared amongst users with Controlled Data permissions. We encourage you to read the dbGap data sharing policies before you share data with your collaborators.