Using deep learning methods to study gene regulation has become popular, but designing accessible and customizable software for this purpose remains a challenge. This work introduces a computational toolkit called EUGENe that facilitates the development of end-to-end deep learning workflows in regulatory genomics.
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This is a summary of: Klie, A. et al. Predictive analyses of regulatory sequences with EUGENe. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00544-w (2023).
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A software framework for end-to-end genomic sequence analysis with deep learning. Nat Comput Sci 3, 920–921 (2023). https://doi.org/10.1038/s43588-023-00557-5
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DOI: https://doi.org/10.1038/s43588-023-00557-5
