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SAPPHIRE.CNN: Implementation of dRNA-seq-driven, species-specific promoter prediction using convolutional neural networks

Data availability is a consistent bottleneck for the development of bacterial species-specific promoter prediction software. In this work we leverage genome-wide promoter datasets generated with dRNA-seq in the Gram-negative bacteria Pseudomonas aeruginosa and Salmonella enterica for promoter predic...

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Detalles Bibliográficos
Autores principales:	Coppens, Lucas, Wicke, Laura, Lavigne, Rob
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Research Network of Computational and Structural Biotechnology 2022
Materias:	Short Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478156/ https://www.ncbi.nlm.nih.gov/pubmed/36147675 http://dx.doi.org/10.1016/j.csbj.2022.09.006

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