Streamlining High Throughput Kinome Analysis: Introducing KADL, a Comprehensive Kinome Analysis Description Language

Authors

  • Imami Ali Sajid Department of Neurosciences, University of Toledo
  • Robert McCullumsmith Department of Neurosciences, University of Toledo
  • William George Ryan V Department of Neurosciences, University of Toledo
  • Hunter Eby Department of Neurosciences, University of Toledo https://orcid.org/0000-0002-9029-9768
  • Jennifer Nguyen Department of Neurosciences, University of Toledo https://orcid.org/0009-0008-8708-0117

DOI:

https://doi.org/10.46570/utjms.vol12-2024-1239

Keywords:

Kinome, Rust, Analysis Platform, PamChip, Symposium

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Published

2024-05-31

How to Cite

Ali Sajid, I., McCullumsmith, R., Ryan, W., Eby, H., & Nguyen, J. (2024). Streamlining High Throughput Kinome Analysis: Introducing KADL, a Comprehensive Kinome Analysis Description Language. Translation: The University of Toledo Journal of Medical Sciences, 12(3). https://doi.org/10.46570/utjms.vol12-2024-1239

Issue

Vol. 12 No. 3 (2024): Graduate Research Annual Forum

Section

Graduate Research Annual Forum

License

Copyright (c) 2024 Imami Ali Sajid, Robert McCullumsmith, William George Ryan V, Hunter Eby, Jennifer Nguyen (Author)

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