| Literature DB >> 29092928 |
Sheila M Reynolds1, Michael Miller2, Phyliss Lee2, Kalle Leinonen2, Suzanne M Paquette2, Zack Rodebaugh2, Abigail Hahn2, David L Gibbs2, Joseph Slagel2, William J Longabaugh2, Varsha Dhankani2, Madelyn Reyes3, Todd Pihl3, Mark Backus3, Matthew Bookman4,5, Nicole Deflaux4,5, Jonathan Bingham4,5, David Pot3, Ilya Shmulevich1.
Abstract
The ISB Cancer Genomics Cloud (ISB-CGC) is one of three pilot projects funded by the National Cancer Institute to explore new approaches to computing on large cancer datasets in a cloud environment. With a focus on Data as a Service, the ISB-CGC offers multiple avenues for accessing and analyzing The Cancer Genome Atlas, TARGET, and other important references such as GENCODE and COSMIC using the Google Cloud Platform. The open approach allows researchers to choose approaches best suited to the task at hand: from analyzing terabytes of data using complex workflows to developing new analysis methods in common languages such as Python, R, and SQL; to using an interactive web application to create synthetic patient cohorts and to explore the wealth of available genomic data. Links to resources and documentation can be found at www.isb-cgc.org Cancer Res; 77(21); e7-10. ©2017 AACR. ©2017 American Association for Cancer Research.Entities:
Mesh：
Year: 2017 PMID： 29092928 PMCID： PMC5780183 DOI： 10.1158/0008-5472.CAN-17-0617
Source DB: PubMed Journal: Cancer Res ISSN： 0008-5472 Impact factor: 12.701