Tag: cloud

May 06

Usable, Collaborative, Reproducible, and Extensible: Four Key Tenets of Cloud Computing

Brandi Davis-Dusenbery, Ph.D.

The Seven Bridges Cancer Genomics Cloud (CGC) is one of three pilot systems funded by the National Cancer Institute with the aim of co-localizing massive genomics datasets, like The Cancer Genomics Atlas (TCGA), alongside secure and scalable computational resources for analysis. TCGA comprises multidimensional matched tumor-normal data from over 11,000 patients and 33 cancer types. …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/usable-collaborative-reproducible-extensible-four-key-tenets-cloud-computing/

Feb 01

Cancer Research in the Cloud: The New Normal?

Ilya Shmulevich, Ph.D.Ilya Shmulevich, Ph.D.

By Ilya Shmulevich, Ph.D., Institute for Systems for Biology   We have all been hearing about the benefits of cloud computing for a long time now. At the Institute for Systems Biology (ISB), we believe that 2016 is the year in which a cloud-based approach will truly become “the new normal” for cancer research.  The …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/cancer-research-in-the-cloud-the-new-normal/

Jan 06

FY 2017: NCI Looks to the Clouds

Warren Kibbe, Ph.D.

As the FY 2017 Annual Plan and Budget Proposal describes, some of the key components of the infrastructure and programs that comprise the National Cancer Program include: 69 NCI-designated Cancer Centers across the country, NCI’s National Clinical Trials Network, NCI Community Oncology Research Program, and the NCI-supported programs that are training today’s cancer research workforce and the workforce of the …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/1817-2/

Apr 15

Computational Needs for Large-scale Data Analysis: Towards a Cancer Knowledge Cloud

Fountain of data showing cancer cloud

Biology is increasingly joining the ranks of the data-intensive sciences through increased use of “-omics” technologies (next-generation sequencing, expression profiling, proteomics, methylation studies, etc.) and the large-scale use of a variety of imaging technologies in research. This is great for scientists and the patients who are going to benefit from the research, but it poses …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/computational-needs-for-large-scale-data-analysis-towards-a-cancer-knowledge-cloud/