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

Downloads

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)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).