High-end computational services and data management resources are key to sustaining internationally competitive biomedical research. The need for computational infrastructure will become even greater as genomics resources become more sophisticated and ubiquitous (see Genomic Resources Core). This section describes our plan to implement an innovative feedback lifecycle model for providing sustainable computational resources for research program development and customer support services. With NIH investments from previous COBRE awards, we have implemented a state of the art Computational Resources Core (CRC) in the Institute for Bioinformatics and Evolutionary Studies (IBEST) at the University of Idaho. The primary mission of the existing CRC has been to use COBRE funds to develop biomedical research capacity. The CRC currently enables several computationally intensive biomedical research projects, including molecular modeling, statistical simulations, computer algorithm development, and machine learning and data mining.
The aim of this proposed COBRE project is to gradually wean the CRC from COBRE dependence by implementing a business model for fiscal autonomy, without sacrificing flexibility or innovation. The keystone of our plan is to implement a Feedback Lifecycle Model, with two mutually reinforcing pieces: one with purchased equipment for research Program Development and one with leased high-end equipment to support users with independent funding. Our objective is to recruit researchers to develop ideas and preliminary data for future projects on the Program Development system, to perform those projects on the Customer Supported System (leased), and (the key point) to purchase post-lease equipment for the development system while using user fees to maintain the leased systems. COBRE funds will support Program Development operations while we implement the leased system, to improve our data transport hardware and software so that the two systems will be compatible, and to """"""""prime the pump"""""""" by moving the first round of equipment from the fee-for-service system to the development system, after the first round of leases expire.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZRR1)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Idaho
United States
Zip Code
Damase, Tulsi Ram; Miura, Tanya A; Parent, Christine E et al. (2018) Application of the Open qPCR Instrument for the in Vitro Selection of DNA Aptamers against Epidermal Growth Factor Receptor and Drosophila C Virus. ACS Comb Sci 20:45-54
Sun, Chi; Mitchell, Diana M; Stenkamp, Deborah L (2018) Isolation of photoreceptors from mature, developing, and regenerated zebrafish retinas, and of microglia/macrophages from regenerating zebrafish retinas. Exp Eye Res 177:130-144
Miller, Craig R; Van Leuven, James T; Wichman, Holly A et al. (2018) Selecting among three basic fitness landscape models: Additive, multiplicative and stickbreaking. Theor Popul Biol 122:97-109
Garry, Daniel J; Ellington, Andrew D; Molineux, Ian J et al. (2018) Viral attenuation by engineered protein fragmentation. Virus Evol 4:vey017
Hendricks, Sarah A; Schweizer, Rena M; Harrigan, Ryan J et al. (2018) Natural re-colonization and admixture of wolves (Canis lupus) in the US Pacific Northwest: challenges for the protection and management of rare and endangered taxa. Heredity (Edinb) :
Cornejo, Omar E; Hickey, Roxana J; Suzuki, Haruo et al. (2018) Focusing the diversity of Gardnerella vaginalis through the lens of ecotypes. Evol Appl 11:312-324
Sheng, Haiqing; Duan, Mingrui; Hunter, Samuel S et al. (2018) High-Quality Complete Genome Sequences of Three Bovine Shiga Toxin-ProducingEscherichia coliO177:H- (fliCH25) Isolates Harboring Virulentstx2and Multiple Plasmids. Genome Announc 6:
Margres, Mark J; Ruiz-Aravena, Manuel; Hamede, Rodrigo et al. (2018) The Genomic Basis of Tumor Regression in Tasmanian Devils (Sarcophilus harrisii). Genome Biol Evol 10:3012-3025
Dorsey, Brian L; Gregory, Timothy J; Sass, Chodon et al. (2018) Pleistocene diversification in an ancient lineage: a role for glacial cycles in the evolutionary history of Dioon Lindl. (Zamiaceae). Am J Bot 105:1512-1530
Kravats, Andrea N; Hoskins, Joel R; Reidy, Michael et al. (2018) Functional and physical interaction between yeast Hsp90 and Hsp70. Proc Natl Acad Sci U S A 115:E2210-E2219

Showing the most recent 10 out of 62 publications