The University of Wisconsin's (UW) Computation and Informatics in Biology and Medicine Training Program (CIBM) is proposing to help train the next generation of computational scientists in health and disease research. We will extend our prior collaboration with the Marshfield Clinical Research Foundation to also fully integrate our program with UW's Institute for Clinical and Translational Research (ICTR). The interplay between computational and statistical methods and the biomedical sciences continues to expand rapidly. Both computer modeling and informatics now play a key role in both biology and medicine, and our researchers have been developing novel state-of-the-art algorithms for the analysis of molecular and clinical research data. The organizations involved in CIBM are strong. UW has a total externally funded research portfolio of $1B/year and is a leading research university. A good fraction of this research is in the biomedical sciences and related areas, and a number of departments involved in CIBM are regularly in the 'top ten'lists in various polls, including Computer Sciences, Genetics, Biochemistry, Statistics, Chemical and Biological Engineering, and others. We will continue to build on these strengths as we move more to health and disease-related research training. The strength of CIBM has been to bring strong algorithmic thinking from computer scientists, statisticians, and informaticists to projects and domains where challenging problems lie. We will continue to use this model going forward. We have demonstrated strong success in recruiting and training graduate students and postdoctoral fellows. This is evidenced by the number of new faculty we have produced in the biomedical informatics area, the development of new externally funded multi-disciplinary research projects, and our involvement in minority recruitment and placement. To buttress these new training endeavors we have added new members to our CIBM management committee, including Prof. Eneida Mendonga, a new faculty member in Clinical Research Informatics at UW's ICTR, and Dr. Amit Acharya, a dental informaticist from the Marshfield Clinic. Our curriculum now includes courses closely connected to clinical and translational research, and we propose to include new opportunities for postdoctoral dental informatics research. The program will be well positioned to serve the country with highly trained researchers in biomedical informatics.

Public Health Relevance

As more information becomes available on medical outcomes and on genetic factors in health and disease it becomes more imperative to properly collect, store, and analyze these data to improve clinical practices. Researchers and faculty are needed that are expert in the areas of computer science and information management as they apply to translational research. We are proposing a continuation of UW's Computation and Informatics in Biology and Medicine Training Program to help achieve this mission. ! !

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
5T15LM007359-13
Application #
8686075
Study Section
Special Emphasis Panel (ZLM1)
Program Officer
Florance, Valerie
Project Start
2002-07-01
Project End
2017-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
13
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Biochemistry
Type
Earth Sciences/Resources
DUNS #
City
Madison
State
WI
Country
United States
Zip Code
53715
Darst, Burcu; Engelman, Corinne D; Tian, Ye et al. (2018) Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20. BMC Genet 19:76
Bastarache, Lisa; Hughey, Jacob J; Hebbring, Scott et al. (2018) Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359:1233-1239
Engelman, Corinne D; Darst, Burcu F; Bilgel, Murat et al. (2018) The effect of rare variants in TREM2 and PLD3 on longitudinal cognitive function in the Wisconsin Registry for Alzheimer's Prevention. Neurobiol Aging 66:177.e1-177.e5
Yin, John; Redovich, Jacob (2018) Kinetic Modeling of Virus Growth in Cells. Microbiol Mol Biol Rev 82:
Rhoads, Timothy W; Burhans, Maggie S; Chen, Vincent B et al. (2018) Caloric Restriction Engages Hepatic RNA Processing Mechanisms in Rhesus Monkeys. Cell Metab 27:677-688.e5
LeDuc, Richard D; Schwämmle, Veit; Shortreed, Michael R et al. (2018) ProForma: A Standard Proteoform Notation. J Proteome Res 17:1321-1325
Condon, Samson G F; Mahbuba, Deena-Al; Armstrong, Claire R et al. (2018) The FtsLB subcomplex of the bacterial divisome is a tetramer with an uninterrupted FtsL helix linking the transmembrane and periplasmic regions. J Biol Chem 293:1623-1641
Kaur, Harpreet; Jamalidinan, Fatemehsadat; Condon, Samson G F et al. (2018) Analysis of spliceosome dynamics by maximum likelihood fitting of dwell time distributions. Methods :
Gupta, Rajesh; Nguyen, Dan C; Schaid, Michael D et al. (2018) Complement 1q-like-3 protein inhibits insulin secretion from pancreatic ?-cells via the cell adhesion G protein-coupled receptor BAI3. J Biol Chem 293:18086-18098
Niemann, Michael C E; Weber, Henriette; Hluska, Tomáš et al. (2018) The Cytokinin Oxidase/Dehydrogenase CKX1 Is a Membrane-Bound Protein Requiring Homooligomerization in the Endoplasmic Reticulum for Its Cellular Activity. Plant Physiol 176:2024-2039

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