This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Molecular Biology Core Facility has provided researchers access to state-of-the-art instruments, equipment, and facilities for the analysis of nucleic acid sequences. The Core Facility now occupies 850 sq. feet of newly renovated space in Life Sciences South, and is equipped with the major instrumentation and computational resources described below, as well as wet lab benches, two NuAire biosafety cabinets, thermocyclers, centrifuges, microfuges, freezers, refrigerators, and other minor equipment needed for sample preparation. A full time technician oversees operation and maintenance of the instruments, and provides instruction, guidance, and trouble-shooting assistance to users of the facility. The major instrumentation now available in the Core Facility includes the following: two capillary DNA sequencers (an Applied Biosystems PRISM 3730 DNA Analyzer, and an ABI 3730 is a 48 capillary system), a Qiagen BioRobot 3000 for high thoroughput sample processing using a 96-well microplate format. A portion of the laboratory is dedicated to data analysis and bioinformatics. The laboratory is equipped two Macintosh Power Mac G5 computers which have dual 2 GHz processors, 1GB of RAM, and two 250 GB hard drives that are networked through a secure high-speed local network. This provides investigators with access to resources that are available on the Internet and through the Bioinformatics Core Facility. These are state of the art facilities that support a wide range of biomedical research projects at the University of Idaho.

National Institute of Health (NIH)
National Center for Research Resources (NCRR)
Exploratory Grants (P20)
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Special Emphasis Panel (ZRR1-RI-A (02))
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University of Idaho
Schools of Arts and Sciences
United States
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Ruffley, Megan; Smith, Megan L; Espíndola, Anahí et al. (2018) Combining allele frequency and tree-based approaches improves phylogeographic inference from natural history collections. Mol Ecol 27:1012-1024
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