Data Analysis Tools

Gathering childhood cancer cohorts into a single database and analysis environment with user-friendly tools

Childhood Cancer Data Initiative Ideas

To accelerate childhood cancer research, scientists need tools to access and analyze genomic data that are easy for bench scientists to use and powerful enough to allow bioinformaticians to test ideas. Gathering childhood cancer cohorts into a single database and analysis environment with user-friendly tools will facilitate this. This system needs to have secure access controls and user roles. This childhood cancer genomic data portal needs scalable storage and computing resources, to allow both routine and sophisticated analysis, and be able to grow with the user community. There are several commonly used genomic data types, and the database should support this multiomic data, and allow analyses that combine data types. This multiomic analysis is proving a powerful method for understanding cancer.

 

The genomic data needs to be integrated with relevant genomic reference databases with information on phenotypes, genes, and variants. Databases with genetic disease information, population genetic data, all the other data biologists need to refine and understand the results of analyses. The reference data should ideally be separate from the genomic data to facilitate regular updates, and system should allow researchers to dynamically link these reference sources to the genomic data. Also, the system should include a genome browser as part of a suite of visualization tools.

Voting

0 votes
Ideate
Idea No. 983

Attachments

- [ Show all ]