<p>Streamlining high throughput kinome analysis: Introducing KADL, a comprehensive kinome analysis description language</p>

Ali Sajid Imami; William Ryan V; Hunter Eby; Jennifer Nguyen; Taylen Arvay; Robert McCullumith

doi:10.7490/f1000research.1119922.1

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Imami AS, Ryan V W, Eby H et al. Streamlining high throughput kinome analysis: Introducing KADL, a comprehensive kinome analysis description language [version 1; not peer reviewed]. F1000Research 2024, 13:1172 (slides) (https://doi.org/10.7490/f1000research.1119922.1)

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Streamlining high throughput kinome analysis: Introducing KADL, a comprehensive kinome analysis description language

Ali Sajid Imami¹, William Ryan V, Hunter Eby, Jennifer Nguyen, Taylen Arvay, Robert McCullumith

Published 08 Oct 2024 (https://doi.org/10.7490/f1000research.1119922.1)

Author Affiliations

¹ Department of Neurosciences, The University of Toledo Department of Neurosciences, Toledo, Ohio, USA

Copyright © 2024 Imami AS et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 08 Oct 2024

Streamlining high throughput kinome analysis: Introducing KADL, a comprehensive kinome analysis description language
[version 1; not peer reviewed]

Ali Sajid Imami¹, William Ryan V, Hunter Eby, Jennifer Nguyen, Taylen Arvay, Robert McCullumith

Author Affiliations

¹ Department of Neurosciences, The University of Toledo Department of Neurosciences, Toledo, Ohio, USA

Presented at

Great Lakes Bioinformatics Conference (GLBIO) 2024

Competing Interests

No competing interests were disclosed

Keywords

Kinome, Donaim-specific Language, Scalability, Automation

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