• 117 Pleasant St. SE, 599 Walter Library

    55455 Minneapolis

    United States

Organization profile

Organization profile

The Minnesota Supercomputing Institute has the software, hardware, and experts to provide the support you need for your research no matter what the research area.

The mission of the Minnesota Supercomputing Institute (MSI) is to provide advanced research computing infrastructure and expertise to the University of Minnesota research and scholarly community and the State of Minnesota in order to advance and accelerate research and foster innovation and discoveries through advanced computing technologies, scientific computing and informatics, application development, and services.

MSI fosters innovation and discovery through advanced research computing. MSI's goals are to (1) ensure high quality, state of the art computing infrastructure to enable the University of Minnesota research and scholarly community to advance science, engineering, and society through advanced research computing; (2) ensure high-quality expertise and capabilities to develop innovative solutions in support of compute- and data-intensive research of the University of Minnesota research and scholarly community; (3) partner with the University of Minnesota research and scholarly community and their collaborators to enable projects that require advanced research computing; (4) deliver solutions effectively and efficiently and be responsive to user needs; and (5) expand the capabilities to users outside of the University of Minnesota, as appropriate, while respecting the needs of the University of Minnesota’s research community as MSI’s primary user.

MSI also provides fee-based dedicated technical consulting and analytical services tailored to support specific research initiatives or development programs. Examples include long-term programming assistance, development of customized research and analysis environments, informatics support, database development and implementation, discipline-specific analytical services, collaboration environments or networks, web-based interfaces for research, analysis, or collaboration, sustained training, and advanced visualization services.

 

Fingerprint Dive into the research topics where Minnesota Supercomputing Institute is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Projects

    Research Output

    Challenges in Peptide-Spectrum Matching: A Robust and Reproducible Statistical Framework for Removing Low-Accuracy, High-Scoring Hits

    Hubler, S. L., Kumar, P., Mehta, S., Easterly, C., Johnson, J. E., Jagtap, P. D. & Griffin, T. J., Jan 3 2020, In : Journal of Proteome Research. 19, 1, p. 161-173 13 p.

    Research output: Contribution to journalArticle

  • Interruption of continuous opioid exposure exacerbates drug-evoked adaptations in the mesolimbic dopamine system

    Lefevre, E. M., Pisansky, M. T., Toddes, C., Baruffaldi, F., Pravetoni, M., Tian, L., Kono, T. J. Y. & Rothwell, P. E., Jan 1 2020, (Accepted/In press) In : Neuropsychopharmacology.

    Research output: Contribution to journalArticle

    Open Access
  • Selection and plasticity both account for interannual variation in life-history phenology in an annual prairie legume

    Nashoba, A. R. & Kono, T. J. Y., Jan 1 2020, In : Ecology and Evolution. 10, 2, p. 940-951 12 p.

    Research output: Contribution to journalArticle

    Open Access
  • Datasets

    Regions of High Confidence in Chinese Hamster and CHO-K1 Genome Assemblies

    Bandyopadhyay, A., Hu, W., Jacob, N. M., Johnson, K., Karypis, G., Le, H., Mudge, J., Onsongo, G., Ramaraj, T., Sharma, M., Silverstein, K. A., Vishwanathan, N., Fu, H., Data Repository for the University of Minnesota, 2016

    Dataset

    Barley Genotyping SNPs Annotated using SNPMeta

    Kiran, S., Kono, T. J. Y., Morrell, P. L., Poland, J. A., Data Repository for the University of Minnesota, 2016

    Dataset