In this competitive renewal, the Bioinformatics &Biostatistics Core reasserts its commitment to providing the computational/bioinformatics infrastructure and analytical techniques necessary for the success of the University of Washington NIDA Center. The unifying theme of the Center is to integrate results from global gene expression and protein abundance profiles to provide a more detailed understanding of the molecular mechanisms involved in the host response to viral infection. By bringing together researchers with expertise in such varied fields as virology, bioinformatics, immunology, biostatistics, clinical medicine, and mass spectrometry, our multidisciplinary approach to studying viral diseases such as AIDS and HCV allows for communication across these fields and integration of information to provide novel or improved methods toward treatment of these diseases. While the other Cores are responsible for generating the collaborations that will lead to unique sets of biological samples and solving the problems surrounding newer technologies such as proteomics, the Bioinformatics &Biostatistics Core provides the necessary functions underpinning the success of these efforts such as data management, computational infrastructure, statistical experimental design and analysis, and data dissemination.
The Specific Aims of the Core are to: 1) Provide data analysis support and platforms for the integration of disparate types of data. 2) Provide mechanisms for the dissemination of raw data and processed results to the research community. 3) Provide statistical expertise and application training for optimized experimental design and data analysis. Our role often begins at the inception of a research program and continues long after the laboratory experiments have been completed. Biostatistics is key to our mission in terms of optimizing sample population, sample size, and sampling technique for the greatest efficiency and significance to be garnered from experiments as well as statistical analysis of the resulting data. Bioinformatics provides the computer infrastructure and databases for storage and dissemination of our results and is responsible for custom analysis, data integration, and software training. These wide-ranging efforts inextricably tie the Bioinformatics &Biostatistics Core to the overall success of the other Cores with in the NIDA Center and underscore our importance in these research efforts.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Center Core Grants (P30)
Project #
5P30DA015625-09
Application #
8113216
Study Section
Special Emphasis Panel (ZDA1)
Project Start
Project End
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
9
Fiscal Year
2010
Total Cost
$237,858
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Britton, Laura-Mae P; Sova, Pavel; Belisle, Sarah et al. (2014) A proteomic glimpse into the initial global epigenetic changes during HIV infection. Proteomics 14:2226-30
Palermo, Robert E; Tisoncik-Go, Jennifer; Korth, Marcus J et al. (2013) Old world monkeys and new age science: the evolution of nonhuman primate systems virology. ILAR J 54:166-80
Chang, Stewart T; Thomas, Matthew J; Sova, Pavel et al. (2013) Next-generation sequencing of small RNAs from HIV-infected cells identifies phased microrna expression patterns and candidate novel microRNAs differentially expressed upon infection. MBio 4:e00549-12
Korth, Marcus J; Tchitchek, Nicolas; Benecke, Arndt G et al. (2013) Systems approaches to influenza-virus host interactions and the pathogenesis of highly virulent and pandemic viruses. Semin Immunol 25:228-39
Selinger, Christian; Katze, Michael G (2013) Mathematical models of viral latency. Curr Opin Virol 3:402-7
Law, G Lynn; Tisoncik-Go, Jennifer; Korth, Marcus J et al. (2013) Drug repurposing: a better approach for infectious disease drug discovery? Curr Opin Immunol 25:588-92
Law, G Lynn; Korth, Marcus J; Benecke, Arndt G et al. (2013) Systems virology: host-directed approaches to viral pathogenesis and drug targeting. Nat Rev Microbiol 11:455-66
McDermott, Jason E; Diamond, Deborah L; Corley, Courtney et al. (2012) Topological analysis of protein co-abundance networks identifies novel host targets important for HCV infection and pathogenesis. BMC Syst Biol 6:28
Diamond, Deborah L; Krasnoselsky, Alexei L; Burnum, Kristin E et al. (2012) Proteome and computational analyses reveal new insights into the mechanisms of hepatitis C virus-mediated liver disease posttransplantation. Hepatology 56:28-38
Navare, Arti T; Sova, Pavel; Purdy, David E et al. (2012) Quantitative proteomic analysis of HIV-1 infected CD4+ T cells reveals an early host response in important biological pathways: protein synthesis, cell proliferation, and T-cell activation. Virology 429:37-46

Showing the most recent 10 out of 49 publications