For almost two decades, the W. M. Keck Center, which spans six biomedical institutions in the Greater Houston, Texas area, has trained pre- and postdoctoral fellows in biomedical informatics. Here we seek the renewal of one of our training programs (the NLMTP), which the National Library of Medicine has supported for fifteen years. When we began the NLMTP, we foresaw that computational biology would reshape medicine in important ways, and so emphasized this emerging discipline in the research experiences our trainees. Now that computational biology has a firmly established place in biomedicine, in the NLMTP renewal, we will emphasize clinical informatics more heavily and broaden our focus to include translational medicine, public health, biosecurity, applied nanotechnology and computational biomedical engineering. In the NLMTP, we will exploit the Keck Center's considerable strengths in simulation and imaging, statistical and computational biomedicine, clinical decision-making and deep expertise regarding biological structure and function. And we will employ processes for recruiting, selecting, monitoring and assessing trainees that have proved so successful in the Keck Center over the years.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Continuing Education Training Grants (T15)
Project #
Application #
Study Section
Special Emphasis Panel (ZLM1-AP-T (O1))
Program Officer
Florance, Valerie
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Rice University
Organized Research Units
United States
Zip Code
Call, Lee; Stoll, Barbara; Oosterloo, Berthe et al. (2018) Metabolomic signatures distinguish the impact of formula carbohydrates on disease outcome in a preterm piglet model of NEC. Microbiome 6:111
Emerson, Charlene H; Lopez, Christopher R; Ribes-Zamora, Albert et al. (2018) Ku DNA End-Binding Activity Promotes Repair Fidelity and Influences End-Processing During Nonhomologous End-Joining in Saccharomyces cerevisiae. Genetics 209:115-128
Roh, Soung-Hun; Stam, Nicholas J; Hryc, Corey F et al. (2018) The 3.5-Å CryoEM Structure of Nanodisc-Reconstituted Yeast Vacuolar ATPase Vo Proton Channel. Mol Cell 69:993-1004.e3
Hendryx, Emily P; Rivière, Béatrice M; Sorensen, Danny C et al. (2018) Finding representative electrocardiogram beat morphologies with CUR. J Biomed Inform 77:97-110
Chen, Han; Li, Chunyan; Zhou, Zhicheng et al. (2018) Fast-Evolving Human-Specific Neural Enhancers Are Associated with Aging-Related Diseases. Cell Syst 6:604-611.e4
Chen, Han; Li, Chunyan; Peng, Xinxin et al. (2018) A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples. Cell 173:386-399.e12
Chiang, Sharon; Vankov, Emilian R; Yeh, Hsiang J et al. (2018) Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity. PLoS One 13:e0190220
Kim, Sarah M; Peña, Matthew I; Moll, Mark et al. (2017) A review of parameters and heuristics for guiding metabolic pathfinding. J Cheminform 9:51
Chen, Han; Wu, Chung-I; He, Xionglei (2017) The genotype-phenotype relationships in the light of natural selection. Mol Biol Evol :
Chiang, Sharon; Guindani, Michele; Yeh, Hsiang J et al. (2017) A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection. Front Neurosci 11:669

Showing the most recent 10 out of 242 publications