The Genomics Resources Core provides the biomedical research community a turnkey solution for the problems in the generation and analysis of genomic data. Following a massive expansion in 2009, the Core now offers services in Sanger sequencing, next generation 454 pyrosequencing, NimbleGen microarrays, single nucleotide polymorphism analysis for genotyping, high throughput sample preparation, and bioinformatic data analysis. The Core has successfully implemented the Interdisciplinary Triangle of Collaboration, an innovative operational plan to offer specialized technical expertise in both data generation and data analysis. Core personnel become part of the research team, filling knowledge gaps in molecular methods and bioinformatics, and ensuring a holistic approach to research projects, from project planning and consultation, to sample submission, data generation, data analysis and bioinformatics, culminating with publication and reporting assistance. Strategic partnerships with other institutions extend the Core's offering beyond our equipment capabilities. The Core provides education and outreach to assist investigators in staying abreast of current technologies and analytical methods. In sum, our strategy is to create a path for biomedical investigators to exploit advanced genomics technology and the bioinformatics expertise needed for analysis of data, and by doing so allow them to take their research in new directions. By helping investigators succeed, we advance biomedical research and increase the competitiveness of University of Idaho investigators for extramural funding, while becoming financially self-sustaining as a result of fee-for service revenues. We expect nearly all personnel and service contract costs to be recovered through user fees by the end of COBRE support as additional services are added and our user base expands.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Center Core Grants (P30)
Project #
5P30GM103324-02
Application #
8643801
Study Section
Special Emphasis Panel (ZRR1)
Project Start
Project End
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Idaho
Department
Type
DUNS #
City
Moscow
State
ID
Country
United States
Zip Code
83844
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
Ruffley, Megan; Smith, Megan L; EspĂ­ndola, AnahĂ­ et al. (2018) Combining allele frequency and tree-based approaches improves phylogeographic inference from natural history collections. Mol Ecol 27:1012-1024
Andrews, Kimberly R; Adams, Jennifer R; Cassirer, E Frances et al. (2018) A bioinformatic pipeline for identifying informative SNP panels for parentage assignment from RADseq data. Mol Ecol Resour 18:1263-1281

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