A graduate training program in bioinformatics is proposed for North Carolina State University. Support is requested for six predoctoral and two postdocotoral trainees. The training program is centered on a new graduate degree program in bioinformatics, and predoctoral trainees will be required to complete the core courses in bioinformatics, computer science, genetics, genomic science and statistics for that program. There are additional requirements of journal club participation and training in the responsible conduct of research. Predoctoral trainees will earn a Ph.D. with a major or co-major in bioinformatics, biomathematics or statistics. Some students will also co-major in genetics. Predoctoral trainees may take courses to complement their previous training, and will conduct research in collaboration with a mentor from the training faculty. The 13 training faculty are drawn from the department of statistics, forestry, genetics and computer science. There are an additional three adjunct faculty at neighboring institutions. Additional faculty appointments are pending in bioinformatics. The training program is designed to meet the current need for researchers with training in the management and interpretation of genomic data, and is based on the philosophy that this training requires an exposure to the methods of data generation, and to an understanding of the evolutionary processes that shaped current genomic structure. This biological component to training must be accompanied by a thorough grounding in the methods of statistical inference.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES007329-05
Application #
6763028
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Shreffler, Carol K
Project Start
2000-07-01
Project End
2005-06-30
Budget Start
2004-07-01
Budget End
2005-06-30
Support Year
5
Fiscal Year
2004
Total Cost
$217,300
Indirect Cost
Name
North Carolina State University Raleigh
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
042092122
City
Raleigh
State
NC
Country
United States
Zip Code
27695
Balik-Meisner, Michele; Truong, Lisa; Scholl, Elizabeth H et al. (2018) Elucidating Gene-by-Environment Interactions Associated with Differential Susceptibility to Chemical Exposure. Environ Health Perspect 126:067010
To, Kimberly T; Fry, Rebecca C; Reif, David M (2018) Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. BioData Min 11:10
Marvel, Skylar W; To, Kimberly; Grimm, Fabian A et al. (2018) ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models. BMC Bioinformatics 19:80
Mahapatra, Debabrata; Franzosa, Jill A; Roell, Kyle et al. (2018) Confirmation of high-throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays. Sci Rep 8:8883
Balik-Meisner, Michele; Truong, Lisa; Scholl, Elizabeth H et al. (2018) Population genetic diversity in zebrafish lines. Mamm Genome 29:90-100
Ash, Jeremy; Fourches, Denis (2017) Characterizing the Chemical Space of ERK2 Kinase Inhibitors Using Descriptors Computed from Molecular Dynamics Trajectories. J Chem Inf Model 57:1286-1299
Zhang, Guozhu; Truong, Lisa; Tanguay, Robert L et al. (2017) A New Statistical Approach to Characterize Chemical-Elicited Behavioral Effects in High-Throughput Studies Using Zebrafish. PLoS One 12:e0169408
Zhang, Guozhu; Roell, Kyle R; Truong, Lisa et al. (2017) A data-driven weighting scheme for multivariate phenotypic endpoints recapitulates zebrafish developmental cascades. Toxicol Appl Pharmacol 314:109-117
Xue, Shang; Bradbury, Peter J; Casstevens, Terry et al. (2016) Genetic Architecture of Domestication-Related Traits in Maize. Genetics 204:99-113
Zhang, Guozhu; Marvel, Skylar; Truong, Lisa et al. (2016) Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure. Reprod Toxicol 62:92-9

Showing the most recent 10 out of 28 publications