The mission of the Biostatistics and Computational Biology Core (BCB) is to provide quantitative suppor for intramural collaboration and coordination of all AIDS-related research activities at Duke, thereby increasing the scientific impact of research done by CFAR investigators. We will work closely with the other CFAR Core leadership to anticipate the needs of HIV-related scholarship at Duke and create the appropriate statistical methods and computer infrastructure to fulfill these needs. Key areas that we anticipate will be critical needs for the Duke CFAR are: 1. Biostatistical consulting for social and behavioral sciences research and clinical trials 2. Laboratory assay development and analysis for flow cytometry and molecular virology 3. Mentoring and education in statistics and quantitative analysis 4. Data management and integration of laboratory and clinical data CFAR investigators can use the Core to consult about statistical or computational biology issues, collaborate on a manuscript or grant, upgrade their quantitative skills by taking a statistics or computational module, or simply make use of software tools developed by Core members. To facilitate such Core-Core interactions, we adopt a model where a single member is the primary contact for each CFAR Core, allowing us to specialize according to our skill sets and scientific interests while also becoming deeply familiar with the relevant science. During the first CFAR funding cycle, the BCB Core has been extensively utilized and has provided critical support to investigators from the Flow Cytometry, Molecular Virology, Social and Behavioral Sciences and Clinical Cores. In addition, BCB Core investigators have made independent scientific contributions through the development of innovative software for multi-parameter flow cytometry, and developed methods for inferring the natural histories of HIV sequences, inferring the V(D)J recombination components for immunoglobulin and T-cell receptor DNA sequences, predicting Hl_A binding by potential peptide T-cell epitopes, and enhanced data processing for cellular tracking, and ELISA, Luminex and gene expression microarray results.

Public Health Relevance

Duke University does not have any other Biostatistical consulting service that is focused on HIV research and in the absence of the BCB Core, investigators would have to find an independent biostatistician to consult on methodological issues with experimental design and data analysis. The BCB Core thus provides a unique and valuable statistical consulting resource to the Duke HIV research community.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZAI1-JBS-A)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Duke University
United States
Zip Code
Abler, Laurie; Sikkema, Kathleen J; Watt, Melissa H et al. (2015) Traumatic stress and the mediating role of alcohol use on HIV-related sexual risk behavior: results from a longitudinal cohort of South African women who attend alcohol-serving venues. J Acquir Immune Defic Syndr 68:322-8
Watt, Melissa H; Sikkema, Kathleen J; Abler, Laurie et al. (2015) Experiences of forced sex among female patrons of alcohol-serving venues in a South African township. J Interpers Violence 30:1533-52
Payne, Tamika L; Blackinton, Jeff; Frisbee, Alyse et al. (2014) Transcriptional and posttranscriptional regulation of cytokine gene expression in HIV-1 antigen-specific CD8+ T cells that mediate virus inhibition. J Virol 88:9514-28
Perez, Lautaro G; Chen, Haiyan; Liao, Hua-Xin et al. (2014) Envelope glycoprotein binding to the integrin ?4?7 is not a general property of most HIV-1 strains. J Virol 88:10767-77
Gao, Feng; Bonsignori, Mattia; Liao, Hua-Xin et al. (2014) Cooperation of B cell lineages in induction of HIV-1-broadly neutralizing antibodies. Cell 158:481-91
Zolla-Pazner, Susan; deCamp, Allan; Gilbert, Peter B et al. (2014) Vaccine-induced IgG antibodies to V1V2 regions of multiple HIV-1 subtypes correlate with decreased risk of HIV-1 infection. PLoS One 9:e87572
Richards, Adam J; Staats, Janet; Enzor, Jennifer et al. (2014) Setting objective thresholds for rare event detection in flow cytometry. J Immunol Methods 409:54-61
Pollara, Justin; Bonsignori, Mattia; Moody, M Anthony et al. (2014) HIV-1 vaccine-induced C1 and V2 Env-specific antibodies synergize for increased antiviral activities. J Virol 88:7715-26
Voronin, Yegor; Mofenson, Lynne M; Cunningham, Coleen K et al. (2014) HIV monoclonal antibodies: a new opportunity to further reduce mother-to-child HIV transmission. PLoS Med 11:e1001616
Watt, Melissa H; Eaton, Lisa A; Choi, Karmel W et al. (2014) "It's better for me to drink, at least the stress is going away": perspectives on alcohol use during pregnancy among South African women attending drinking establishments. Soc Sci Med 116:119-25

Showing the most recent 10 out of 192 publications