The analysis of biological data is an acfive area of research that confinually undergoes substanfial changes. It is important that new methodologies are appropriately evaluated so that the best available methods and approaches can be applied to data! This requires the knowledge and experience of skilled biostafisficians, bioinformaficians, stafisfical geneficists and data administrators. The Quanfitative Analysis Core (QAC) will ' provide such a team with a proven collaborative research record. The OAC will promote and facilitate the research undertaken by both COBRE and non-COBRE invesfigators alike by providing state ofthe art analysis and high-level informafics capabilifies and method development and assessment. By centralizing our vast technological resources as well as the diverse and complimentary expertise of the QAC faculty and staff we offer unique training and collaborative opportunifies to a variety of invesfigators. Specifically, we will 1) provide a cost-effective state-of-the-art computational and methodological resource, 2) offer experienced analysts and senior-level biostafistical and bioinformafics expertise to manage, conduct and interpret analyses, and 3) develop, modify and/or apply novel statisfical analysis methods to the appropriate hypotheses particulariy those including high-dimensional, large-scale data.

Public Health Relevance

Complex genomic data requires skilled personnel to assist at all levels of experimental design and data analysis so the researchers can accurately interpret their data. The Quantitafive Analysis Core will serve as that resource for this Phase III COBRE.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZGM1-TWD-C (3C))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Oklahoma Medical Research Foundation
Oklahoma City
United States
Zip Code
Rivera, Natalia V; Ronninger, Marcus; Shchetynsky, Klementy et al. (2016) High-Density Genetic Mapping Identifies New Susceptibility Variants in Sarcoidosis Phenotypes and Shows Genomic-driven Phenotypic Differences. Am J Respir Crit Care Med 193:1008-22
Hegen, Harald; Adrianto, Indra; Lessard, Christopher J et al. (2016) Cytokine profiles show heterogeneity of interferon-β response in multiple sclerosis patients. Neurol Neuroimmunol Neuroinflamm 3:e202
Ward, Julie M; Ratliff, Michelle L; Dozmorov, Mikhail G et al. (2016) Expression and methylation data from SLE patient and healthy control blood samples subdivided with respect to ARID3a levels. Data Brief 9:213-9
Wang, S; Wen, F; Tessneer, K L et al. (2016) TALEN-mediated enhancer knockout influences TNFAIP3 gene expression and mimics a molecular phenotype associated with systemic lupus erythematosus. Genes Immun 17:165-70
Ward, Julie M; Ratliff, Michelle L; Dozmorov, Mikhail G et al. (2016) Human effector B lymphocytes express ARID3a and secrete interferon alpha. J Autoimmun 75:130-140
Lareau, Caleb A; Adrianto, Indra; Levin, Albert M et al. (2015) Fine mapping of chromosome 15q25 implicates ZNF592 in neurosarcoidosis patients. Ann Clin Transl Neurol 2:972-7
Dozmorov, Mikhail G; Dominguez, Nicolas; Bean, Krista et al. (2015) B-Cell and Monocyte Contribution to Systemic Lupus Erythematosus Identified by Cell-Type-Specific Differential Expression Analysis in RNA-Seq Data. Bioinform Biol Insights 9:11-9
Dozmorov, Mikhail G; Adrianto, Indra; Giles, Cory B et al. (2015) Detrimental effects of duplicate reads and low complexity regions on RNA- and ChIP-seq data. BMC Bioinformatics 16 Suppl 13:S10
Lareau, Caleb A; White, Bill C; Montgomery, Courtney G et al. (2015) dcVar: a method for identifying common variants that modulate differential correlation structures in gene expression data. Front Genet 6:312
Bello, Ghalib A; Adrianto, Indra; Dumancas, Gerard G et al. (2015) Role of NOD2 Pathway Genes in Sarcoidosis Cases with Clinical Characteristics of Blau Syndrome. Am J Respir Crit Care Med 192:1133-5

Showing the most recent 10 out of 14 publications