Abstract

Renewal is requested for a training program in bioinformatics at North Carolina State University, support for 8 pre-doctoral trainees and 2 postdoctoral trainees. The application rests on the success of the bioinformatics graduate program at NC State. This program began in the fall of 1999 and has now produced 37 Master of Bioinformatics and 38 Ph.D. in Bioinformatics graduates. The doctoral graduates are in academic or postdoctoral positions, or are working in the pharmaceutical industry. The number of applicants to this program has risen steadily every year. The graduate training program has prerequisites 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 five years. Candidates share some courses and a journal club with candidates in a parallel degree program in functional genomics. In the last few years, the program has recruited more faculty members working in the area of environmental health and human diseases and has now a growing number of students pursuing research training in this area.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES007329-13
Application #
8296319
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
2000-07-01
Project End
2015-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
13
Fiscal Year
2012
Total Cost
$321,383
Indirect Cost
$24,783

  Institution

Name
North Carolina State University Raleigh
Department
Type
Organized Research Units
DUNS #
042092122
City
Raleigh
State
NC
Country
United States
Zip Code
27695

  Publications

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