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...

Descripción completa

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

Internet

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

Ejemplares similares