? ? Renewal is requested for a Training Program in Bioinformatics at North Carolina State University, with support for 10 predoctoral trainees and four postdoctoral trainees. The application rests on the success of the bioinformatics graduate program at North Carolina State University. This Program began in the fall of 1999 and has now produced 19 Master of Bioinformatics and 7 Ph.D. in Bioinformatics graduates. The doctoral graduates are in academic or postdoctoral positions, or are working in the pharmaceutical industry. The Graduate Training Program has pre-requisites in mathematics, statistics, computing and genetics. Ph.D. candidates are engaged in coursework in bioinformatics, computer science, genetics or biochemistry, and statistics for two years, and are expected to complete their Program within four or five years. Candidates share some courses and a journal club with candidates in a parallel degree program in functional genomics. The number of applicants to the Program has risen steadily every year. For fall of 2003, there were 143 applicants to the Ph.D. program. Forty were admitted and 17 enrolled. In the spring of 2004, the program has 38 Ph.D. candidates, including 3 African Americans, 1 Asian American, 16 women and 18 international students. Twenty-nine faculty across 10 departments in four Colleges are listed as trainers in this application. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES007329-09
Application #
7460586
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
2000-07-01
Project End
2010-06-30
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
9
Fiscal Year
2008
Total Cost
$390,991
Indirect Cost
Name
North Carolina State University Raleigh
Department
Biostatistics & Other Math Sci
Type
Schools of Earth Sciences/Natur
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
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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

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