Statistical Genetics and Bioinformatics
Statistical genetics and bioinformatics is a cross-discipline at RTI that combines the research tools and methods of statistical genetics, biomathematics, genetic epidemiology, and genomics (the study of genes and gene sequences) to analyze and manage interrelated information about organisms and biological systems. Bioinformatics uses computers to solve information problems in the life sciences by creating extensive electronic databases on genomes and protein sequences.
Focus Areas
- Clinical trials
- Natural history studies of disease progression
- National and international epidemiological research on the incidence, prevalence, risk factors, and causes of diseases
- Research on genetic contributions to complex biological processes
- Environmental toxins, their movement through the food web, and their effect at the genetic level
- Analyses of proteomic data
Capabilities
- Development and application of statistical methods for microarray analysis
- Custom software and database development
- Experimental design in gene expression studies
- Development and application of statistical methods for bioinformatics
- Public perception and regulatory issues relating to biotechnology
- Analysis of the relationship between genes and disease
- Analysis and design of clinical trials with a genetic/genomics component
Projects
- Population Genetics Analysis Program: Immunity in Response to Typhoid/Cholera Vaccines. We are conducting research on innate and adaptive immunity genes associated with response to typhoid and cholera vaccines and the consequent protein expression.
- Detecting Genetic Sequence Variation Candidates Using Microarray Profiling Data. We developed statistical methods for detecting genetic variation candidates using microarray profiling data.
- Novel Preclinical Tools for Predictive ADME-Toxicology. One aim of this study is to identify a set of endogenous metabolites excreted in urine that can be used to screen for drug-induced liver injury. A second aim is to gain more insight into markers that are reflective of specific mechanisms of liver injury.
- Unique Signature Detection. The overall objective of this research program is to relate the volatile chemical signature of human emanations to genetic composition of the major histocompatibility complex (MHC) to determine if the chemical signature can uniquely identify individuals.
- Needs Assessment for Monitoring Gene-Based Testing. The project involved an assessment of existing systems and databases for monitoring the utilization and outcomes of gene-based interventions in the health care system using a combination of targeted literature and Web site searches and discussion with experts.
Feature
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