Core 5 will continue to be responsible for the dissemination of the MAGNet Center software platform, geWorkbench, and its associated tools and data. To achieve our goals, we will use outreach activities (conference presentations, training workshops, publications) and a significant and well established support infrastructure (project web site, user forums, expert support, collaborative development tools). These tools will help us proactively promote the Center's technologies and adoption by members of our dual target audience: biomedical researchers with varying degrees of computational skills and geWorkbench open-source component developers. Further, we will continue building on the success of our DREAM conference and challenges to critically assess the quality of Systems Biology tools and algorithms using objective experimental benchmarks, similar to what the CASP conference has achieved for the Structural Biology community.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA121852-10
Application #
8707394
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
$366,834
Indirect Cost
$225,772
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Bisikirska, Brygida; Bansal, Mukesh; Shen, Yao et al. (2016) Elucidation and Pharmacological Targeting of Novel Molecular Drivers of Follicular Lymphoma Progression. Cancer Res 76:664-74
Hosios, Aaron M; Hecht, Vivian C; Danai, Laura V et al. (2016) Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cells. Dev Cell 36:540-9
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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
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
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
Nicoletti, Paola; Bansal, Mukesh; Lefebvre, Celine et al. (2015) ABC transporters and the proteasome complex are implicated in susceptibility to Stevens-Johnson syndrome and toxic epidermal necrolysis across multiple drugs. PLoS One 10:e0131038
Dantas Machado, Ana Carolina; Zhou, Tianyin; Rao, Satyanarayan et al. (2015) Evolving insights on how cytosine methylation affects protein-DNA binding. Brief Funct Genomics 14:61-73
Bansal, Mukesh; Mendiratta, Geetu; Anand, Santosh et al. (2015) Direct ChIP-Seq significance analysis improves target prediction. BMC Genomics 16 Suppl 5:S4
Emmett, Kevin J; Rosenstein, Jacob K; van de Meent, Jan-Willem et al. (2015) Statistical inference for nanopore sequencing with a biased random walk model. Biophys J 108:1852-5

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