Abstract

CORE 3: INFRASTRUCTURE (J.Wofford) Background: MAGNet research and development activities depend critically on the availability of a powerful computational infrastructure. It is the role of Core 3 to provide adequate IT resources to allow the Center as a whole to fulfill its objectives. The infrastructure needs of the various MAGNet activities are broad. While the administrative core requires only basic resources, such as desktop support and reliable file storage, the activities of Cores 1 and 2 require state-of-the-art high performance computing and mass storage resources. Similarly the dissemination core requires the use of modern web and application services. More generally, each of the cores stands to benefit from a robust and reliable networking and security infrastructure and from the availability of useful collaboration and computational tools. To meet these needs, Core 3 must provide cutting-edge hardware, software and facility resources as well as a highly skilled team of support and technical personnel to manage the Center infrastructure.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA121852-10
Application #
8707392
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
10
Fiscal Year
2014
Total Cost
$395,115
Indirect Cost
$225,774

  Institution

Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032

  Publications

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Abe, Takayuki; Lee, Albert; Sitharam, Ramaswami et al. (2017) Germ-Cell-Specific Inflammasome Component NLRP14 Negatively Regulates Cytosolic Nucleic Acid Sensing to Promote Fertilization. Immunity 46:621-634
Wang, Donglai; Kon, Ning; Lasso, Gorka et al. (2016) Acetylation-regulated interaction between p53 and SET reveals a widespread regulatory mode. Nature 538:118-122
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Stockman, Victoria B; Ghamsari, Lila; Lasso, Gorka et al. (2016) A High-Throughput Strategy for Dissecting Mammalian Genetic Interactions. PLoS One 11:e0167617
Alvarez, Mariano J; Shen, Yao; Giorgi, Federico M et al. (2016) Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nat Genet 48:838-47
Sheng, Ren; Jung, Da-Jung; Silkov, Antonina et al. (2016) Lipids Regulate Lck Protein Activity through Their Interactions with the Lck Src Homology 2 Domain. J Biol Chem 291:17639-50
Lachmann, Alexander; Giorgi, Federico M; Lopez, Gonzalo et al. (2016) ARACNe-AP: gene network reverse engineering through adaptive partitioning inference of mutual information. Bioinformatics 32:2233-5
Park, Mi-Jeong; Sheng, Ren; Silkov, Antonina et al. (2016) SH2 Domains Serve as Lipid-Binding Modules for pTyr-Signaling Proteins. Mol Cell 62:7-20

Showing the most recent 10 out of 258 publications