Abstract

CORE 4: EDUCATION Background: Columbia University currently has a large and successful training program in Computational Biology. This program currently involves about 50 PhD students, 20 Masters students and 30 postdoctoral fellows. Central to our educational efforts are the C2B2/MAGNet Graduate Program and the affiliated Training Program in Computational Biology. In addition, there are 7 other graduate programs which provide training in Computational Biology from the perspectives of their particular disciplines: Biochemistry and Molecular Biophysics, Biomedical Informatics, Biological Sciences, Computer Science, Pharmacology, Electrical Engineering, and Applied Physics and Applied Mathematics. Columbia currently offers over 20 courses in Computational Biology, Bioinformatics, and related fields. With C2B2 support, the MAGNet education core coordinates Computational Biology education across the various programs and unifies them into a single meta-program. The Education Core is run by Dr. Dennis Vitkup, Director, and Dr. Richard Friedman, Educational Coordinator. The Education Core reduces redundancy between courses, recruits, advises, and tracks students and postdoctoral fellows.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA121852-07
Application #
8326549
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
7
Fiscal Year
2011
Total Cost
$45,443
Indirect Cost

  Institution

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

  Publications

Hui, Ken Y; Fernandez-Hernandez, Heriberto; Hu, Jianzhong et al. (2018) Functional variants in the LRRK2 gene confer shared effects on risk for Crohn's disease and Parkinson's disease. Sci Transl Med 10:
Azad, Robert N; Zafiropoulos, Dana; Ober, Douglas et al. (2018) Experimental maps of DNA structure at nucleotide resolution distinguish intrinsic from protein-induced DNA deformations. Nucleic Acids Res 46:2636-2647
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
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
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